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S100A6
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  • S100A6
CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

S100A6 is not prognostic in Colon Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 5149.33
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 8487.6
Number of samples 254
Samples
Sample Description pTPM
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 41933.2
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 28999.5
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 26106.4
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 23990.8
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 23513.3
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 22396.1
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 20830.0
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 20657.4
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 20439.8
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 20207.4
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 18782.8
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 18569.1
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 17870.7
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 17144.4
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 16941.8
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 16807.3
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 16729.0
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 16474.7
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 15947.3
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 15330.2
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 14511.3
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 14148.0
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 14070.5
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 13997.0
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 13745.3
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 13696.4
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 13620.2
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 12952.8
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 12910.5
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 12832.0
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 12763.9
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 12752.1
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 12675.2
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 12616.5
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 12422.7
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 12370.7
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 12315.4
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 12219.9
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 12137.8
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 11914.4
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 11876.7
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 11796.3
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 11558.2
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 11452.8
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 11363.1
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 11292.2
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 11195.8
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 11100.6
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 11088.5
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 11084.6
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 10965.9
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 10912.4
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 10884.0
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 10860.9
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 10815.6
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 10761.8
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 10749.0
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 10740.2
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 10691.7
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 10687.2
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 10627.8
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 10565.0
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 10544.9
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 10483.8
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 10463.9
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 10384.5
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 10338.7
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 10116.1
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 10106.0
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 9937.7
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 9906.7
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 9893.4
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 9880.7
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 9874.9
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 9854.0
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 9853.5
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 9796.7
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 9761.6
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 9733.2
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 9729.3
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 9692.0
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 9607.1
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 9546.0
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 9545.4
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 9482.0
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 9410.5
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 9401.6
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 9300.1
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 9281.3
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 9261.6
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 8994.3
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 8969.6
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 8939.7
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 8889.9
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 8778.7
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 8742.1
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 8730.8
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 8639.7
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 8628.7
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 8565.0
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 8395.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 8394.8
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 8305.6
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 8274.3
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 8245.6
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 8198.3
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 8177.1
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 8139.6
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 8106.3
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 8078.9
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 8048.8
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 7884.1
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 7857.5
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 7836.8
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 7792.9
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 7769.6
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 7725.9
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 7689.5
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 7683.7
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 7665.6
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 7504.6
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 7500.9
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 7470.9
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 7461.3
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 7447.8
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 7438.6
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 7402.5
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 7402.3
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 7354.4
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 7337.0
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 7281.6
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 7272.9
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 7250.8
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 7237.5
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 7199.3
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 7162.1
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 7111.7
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 6986.4
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 6980.6
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 6878.0
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 6834.2
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 6803.5
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 6802.8
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 6747.0
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 6652.2
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 6604.1
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 6598.6
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 6568.6
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 6553.5
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 6488.1
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 6473.7
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 6456.7
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 6456.6
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 6450.8
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 6435.8
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 6410.8
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 6381.6
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 6380.4
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 6332.7
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 6315.2
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 6302.1
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 6296.3
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 6268.7
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 6256.4
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 6214.5
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 6180.3
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 6145.3
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 6045.7
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 6044.6
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 6011.0
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 5985.2
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 5937.9
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 5929.5
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 5927.4
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 5925.7
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 5909.0
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 5853.4
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 5815.3
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 5769.3
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 5764.1
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 5752.8
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 5744.1
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 5612.3
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 5584.3
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 5550.1
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 5541.4
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 5515.5
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 5506.5
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 5488.4
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 5477.0
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 5468.0
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 5450.7
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 5444.1
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 5418.2
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 5398.5
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 5315.6
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 5302.4
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 5252.1
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 5219.1
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 5215.1
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 5150.9
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 5147.7
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 5093.2
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 4960.5
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 4925.6
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 4912.3
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 4790.5
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 4788.0
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 4785.6
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 4784.3
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 4765.7
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 4724.6
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 4676.1
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 4672.2
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 4618.3
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 4616.8
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 4596.6
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 4516.9
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 4474.1
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 4456.5
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 4446.5
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 4445.0
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 4419.1
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 4404.0
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 4369.1
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 4322.6
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 4282.6
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 4172.9
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 4055.7
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 3774.4
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 3635.5
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 3566.1
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 3428.8
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 3271.6
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 3269.7
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 3268.2
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 3252.8
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 3249.3
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 3113.9
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 2860.2
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 2808.7
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 2789.3
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 2777.6
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 2600.6
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 2577.4
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 2450.0
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 2381.1
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 2095.5
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 2094.7
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 2066.4
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 1941.5
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 1907.5
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 1774.4
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 1528.3
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COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

S100A6 is not prognostic in Colon Adenocarcinoma (validation)


Stage:





Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 3204.68
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 2565.5
Number of samples 486
Samples
Sample Description pTPM
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 8953.7
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 8457.6
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 7768.9
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 7553.9
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 6980.4
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 6694.5
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 6689.1
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 6617.1
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 6561.1
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 6395.4
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 6380.5
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 6339.3
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 6302.3
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 6224.4
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 6117.1
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 6080.8
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 6072.6
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 6020.6
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 5951.2
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 5856.6
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 5776.9
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 5518.1
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 5441.8
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 5318.3
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 5103.9
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 5077.2
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 5022.7
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 4967.3
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 4908.2
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 4886.8
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 4841.7
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 4781.5
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 4698.6
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 4679.4
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 4612.5
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 4596.2
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 4589.6
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 4569.3
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 4566.7
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 4517.4
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 4501.4
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 4484.4
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 4484.0
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 4463.3
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 4446.0
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 4419.1
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 4407.7
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 4397.5
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 4382.7
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 4369.8
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 4333.4
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 4247.3
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 4244.9
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 4227.2
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 4179.1
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 4176.4
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 4171.6
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 4138.5
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 4063.5
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 4011.9
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 3990.3
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 3973.2
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 3964.2
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 3949.0
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 3912.5
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 3906.5
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 3873.2
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 3863.3
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 3842.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 3835.6
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 3829.6
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 3801.9
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 3766.7
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 3762.6
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 3754.0
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 3749.8
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 3740.7
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 3699.7
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 3687.8
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 3684.1
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 3677.0
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 3656.6
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 3646.8
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 3627.5
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 3616.1
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 3605.3
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 3597.0
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 3587.6
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 3586.4
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 3579.0
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 3558.7
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 3558.6
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 3557.4
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 3506.7
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 3499.6
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 3491.5
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 3482.8
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 3466.6
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 3439.0
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 3435.8
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 3423.0
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 3411.6
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 3386.6
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 3384.8
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 3375.0
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 3369.6
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 3354.6
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 3352.8
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 3347.3
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 3328.8
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 3302.7
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 3299.5
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 3291.8
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 3290.3
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 3266.5
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3260.9
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 3256.1
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 3204.7
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 3186.4
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 3175.4
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 3172.9
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 3159.7
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 3139.0
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 3131.7
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 3088.2
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 3083.6
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 3071.2
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 3061.7
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 3057.6
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 3056.3
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 3035.7
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 3029.5
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 3024.5
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 3017.1
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 2994.3
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 2984.2
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 2979.3
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 2976.7
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 2960.6
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 2957.5
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 2938.0
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 2935.5
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 2934.2
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 2931.0
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 2913.9
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 2897.6
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 2889.2
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 2876.9
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 2875.0
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 2868.1
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 2850.8
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 2842.7
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 2837.9
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 2835.8
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 2831.7
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 2820.1
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 2810.9
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 2802.6
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 2785.6
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 2739.8
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 2739.2
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 2736.2
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 2729.2
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 2728.4
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 2719.3
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 2689.4
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 2688.7
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 2688.0
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 2676.1
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 2676.1
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 2663.6
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 2662.4
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 2660.6
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 2645.6
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 2625.8
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 2625.6
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 2622.9
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 2614.4
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 2597.6
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 2590.1
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 2589.2
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 2579.5
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 2575.4
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 2560.0
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 2548.6
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 2547.8
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 2545.9
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 2542.6
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 2522.7
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 2520.7
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 2516.5
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 2507.1
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 2504.4
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 2504.2
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 2488.2
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 2477.5
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 2468.8
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 2454.4
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 2446.0
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 2442.6
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 2441.2
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 2440.6
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 2439.2
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 2421.0
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 2420.5
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 2413.1
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 2409.6
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 2408.5
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 2391.2
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 2391.1
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 2387.3
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 2382.9
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 2382.1
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 2378.0
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 2373.5
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 2369.8
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 2364.2
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 2353.8
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 2349.6
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 2342.4
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 2341.9
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 2340.4
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 2338.3
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 2334.7
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 2332.0
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 2326.6
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 2315.2
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 2313.3
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 2310.6
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 2309.5
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 2304.5
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 2304.1
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 2303.7
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 2303.4
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 2303.0
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 2296.9
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 2279.7
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 2269.2
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 2269.0
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 2267.3
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 2260.8
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 2257.7
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 2257.3
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 2255.3
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 2236.8
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 2230.7
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 2224.0
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 2202.7
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 2199.4
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 2197.6
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 2195.1
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 2188.2
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 2188.2
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 2176.7
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 2169.6
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 2169.6
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2163.2
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 2158.4
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 2153.8
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 2145.1
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 2139.0
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 2134.7
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 2133.5
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 2124.9
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 2124.3
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 2123.1
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 2117.9
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 2115.0
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 2097.3
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 2094.6
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 2080.1
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 2070.9
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 2069.5
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 2056.9
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 2054.5
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 2046.6
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 2043.3
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 2039.2
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 2021.3
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 2019.7
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 2015.8
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 2006.6
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 1998.7
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 1996.9
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 1996.8
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 1990.6
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 1988.6
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 1986.4
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 1984.3
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 1984.1
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 1983.8
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 1981.6
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 1978.8
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 1975.5
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 1973.7
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 1967.9
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 1956.0
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 1955.8
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 1950.9
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 1950.8
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 1947.7
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 1944.0
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 1933.2
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 1930.4
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 1912.7
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 1895.6
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 1889.5
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 1885.9
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 1873.7
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 1868.2
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 1865.7
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 1865.0
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1860.8
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 1860.3
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 1855.5
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 1850.4
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 1850.0
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 1843.4
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1841.3
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 1836.4
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 1829.8
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 1828.1
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 1821.7
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 1819.7
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 1818.2
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 1805.4
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 1801.9
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 1801.5
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 1799.2
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 1794.6
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 1780.1
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 1777.5
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1774.1
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 1769.7
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 1767.5
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 1752.5
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 1731.3
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 1722.0
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 1719.3
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 1718.8
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 1717.7
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 1717.4
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 1710.5
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 1708.3
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 1703.9
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 1702.8
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 1697.7
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 1695.8
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 1693.9
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 1691.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 1691.6
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 1690.5
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 1688.4
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 1679.5
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 1679.5
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 1679.0
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 1678.7
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 1678.3
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 1673.5
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 1666.8
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 1665.0
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 1663.5
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 1652.9
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 1651.0
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 1644.1
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 1638.3
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 1630.2
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 1626.3
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 1625.8
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 1615.5
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 1605.7
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 1601.9
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 1600.4
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 1587.8
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 1584.1
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 1583.2
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 1577.5
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 1573.9
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 1572.0
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 1563.3
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 1563.3
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 1558.4
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 1543.6
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 1532.3
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 1528.8
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 1528.0
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 1525.4
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 1516.3
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 1509.8
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 1509.3
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 1508.9
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 1503.9
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 1495.3
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 1493.9
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 1491.3
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 1488.4
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 1482.3
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 1473.6
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 1470.5
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 1457.9
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 1451.5
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 1450.7
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 1448.1
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 1446.0
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 1444.7
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 1443.9
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 1441.5
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 1440.4
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 1437.5
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 1436.8
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 1436.5
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 1432.0
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 1431.4
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 1428.4
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 1417.3
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 1409.1
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1408.7
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 1404.7
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 1393.9
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 1393.5
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 1390.1
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 1387.0
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 1383.2
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 1374.0
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 1373.5
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 1373.4
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 1362.7
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 1349.6
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1348.4
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 1347.4
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 1335.5
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 1323.9
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 1323.0
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 1317.9
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 1314.3
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 1303.8
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 1301.0
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 1296.2
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 1291.4
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 1285.8
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 1285.3
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 1276.4
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 1268.2
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 1256.8
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 1246.2
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 1244.7
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 1231.9
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 1230.0
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 1225.9
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 1204.5
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 1198.4
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 1198.0
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 1196.6
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 1192.0
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 1175.7
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 1174.4
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 1171.2
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 1169.7
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 1157.8
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 1155.6
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 1155.5
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 1148.2
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 1144.3
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 1120.5
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 1105.9
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 1086.0
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 1080.9
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 1067.4
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 1062.1
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 1013.7
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 1011.0
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 961.5
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 929.8
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 929.8
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 920.0
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 912.4
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 909.8
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 886.2
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 876.0
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 838.7
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 783.6
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 768.1
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 702.5
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 599.8
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 480.5
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 231.2
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

S100A6 is not prognostic in Rectum Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 5386.73
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 7442.3
Number of samples 88
Samples
Sample Description pTPM
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 19569.3
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 18850.1
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 17320.4
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 16066.4
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 13254.7
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 13046.0
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 13023.2
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 12445.8
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 10925.3
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 10925.2
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 10798.3
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 10627.6
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 10552.1
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 10432.8
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 10386.5
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 10305.9
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 10222.0
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 10154.3
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 10073.6
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 10042.0
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 9385.0
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 9357.9
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 8922.0
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 8887.4
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 8700.5
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 8674.5
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 8542.8
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 8358.0
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 8340.0
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 8330.0
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 8315.5
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 8251.5
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 8099.2
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 8080.5
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 7819.4
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 7687.4
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 7643.2
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 7519.2
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 7234.8
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 7107.4
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 6747.5
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 6686.9
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 6659.7
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 6619.4
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 6578.9
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 6561.5
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 6543.8
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 6363.9
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 6310.3
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 6222.6
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 6217.4
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 6110.2
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 6102.6
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 6098.6
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 6074.8
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 5978.4
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 5941.3
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 5906.6
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 5819.8
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 5813.4
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 5715.4
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 5650.5
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 5498.6
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 5405.8
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 5386.7
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 5210.3
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 5098.8
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 5093.5
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 5075.3
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 4890.8
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 4838.6
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 4543.8
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 4391.9
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 4318.6
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 4091.7
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 3887.6
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 3818.9
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 3706.6
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 3667.3
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 3564.1
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 3452.4
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3445.2
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 3257.9
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 2840.0
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 2773.3
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 2364.1
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 1809.7
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 1498.7
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

S100A6 is not prognostic in Rectum Adenocarcinoma (validation)


Stage:




Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 2002.21
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 1990.1
Number of samples 207
Samples
Sample Description pTPM
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 7028.5
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 5617.4
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 5282.3
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 4502.9
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 4489.7
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 4407.1
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 4237.2
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 4196.4
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 4000.2
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 3925.8
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 3842.7
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 3672.3
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 3667.0
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 3619.0
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 3505.6
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 3501.4
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 3268.3
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 3268.2
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 3264.7
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 3239.7
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 3182.9
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 3160.2
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 3122.2
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 3102.8
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 3048.6
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 2924.7
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 2880.7
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 2864.9
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 2863.3
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 2851.3
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 2845.8
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 2829.6
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 2815.7
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 2773.8
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 2754.0
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 2745.8
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 2696.7
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 2679.9
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 2670.6
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 2669.4
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 2655.2
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 2641.0
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 2583.6
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 2571.6
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 2567.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 2562.9
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 2555.7
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 2553.7
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 2546.3
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 2534.9
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 2532.4
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 2526.1
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 2517.6
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 2508.7
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2506.0
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 2500.9
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 2492.5
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 2452.5
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 2448.4
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 2446.4
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 2376.7
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 2375.0
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 2366.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 2350.7
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 2346.9
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 2339.8
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 2331.1
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 2328.5
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 2298.1
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 2295.4
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 2282.4
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 2255.4
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 2235.9
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 2164.9
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 2156.8
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 2148.5
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 2126.1
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 2117.5
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 2115.7
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 2086.9
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 2084.7
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 2077.2
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 2068.4
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 2051.2
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 2040.5
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 2032.9
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 2014.5
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 1990.0
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 1977.5
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 1975.8
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 1967.3
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 1952.9
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 1943.1
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 1909.4
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 1893.3
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 1854.3
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 1848.9
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 1846.6
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 1839.1
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 1827.7
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 1799.4
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 1796.0
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 1780.2
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 1771.2
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 1765.1
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 1757.8
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 1750.9
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 1737.3
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 1735.6
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 1723.1
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 1715.1
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 1710.2
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 1693.0
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 1692.0
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 1668.9
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 1663.1
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 1653.9
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 1653.4
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 1650.3
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 1642.4
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 1627.4
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 1626.3
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 1617.8
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 1582.0
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 1555.3
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 1547.5
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 1531.9
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 1526.3
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 1511.8
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 1506.3
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 1490.9
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 1487.3
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 1483.1
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 1462.4
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 1435.1
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 1430.3
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 1428.2
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 1424.4
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 1419.8
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1402.5
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 1400.1
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 1388.7
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 1382.0
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 1372.4
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 1371.8
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 1363.0
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 1350.1
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 1349.1
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1345.9
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 1326.9
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 1323.7
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 1322.8
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 1322.8
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 1293.6
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 1273.9
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 1268.2
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 1256.9
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 1242.3
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 1226.0
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 1206.0
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 1205.6
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 1204.1
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 1200.1
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 1194.0
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 1190.7
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 1185.4
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 1177.4
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 1165.9
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 1159.7
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 1148.3
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 1147.2
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 1147.1
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 1140.7
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 1138.9
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1131.7
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 1124.4
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 1119.6
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1116.9
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 1088.1
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 1073.3
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 1048.6
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 1040.8
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 1014.7
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 1011.9
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 999.1
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 968.6
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 961.0
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 951.1
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 944.7
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 931.4
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 914.1
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 903.3
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 895.0
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 888.4
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 888.2
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 886.9
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 839.7
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 839.6
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 822.3
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 818.7
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 817.9
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 813.5
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 800.1
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 757.7
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 564.4
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 535.3
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 182.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 1.3
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 1.0
067db520-1b1f-4569-9414-e37a6e_D2 Normal 0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.8
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor 0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.7
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.7
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.6
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.6
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.5
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.5
963fc8db-f412-4427-a198-23f660_D2 Normal 0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal 0.4
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.4
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal 0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.4
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal 0.4
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal 0.3
da747cee-5026-4923-af63-ad9f81_D2 Normal 0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.3
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.2
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.2
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.2
16ac8458-5200-4302-9ad0-b311df_D2 Normal 0.2
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal 0.2
5de06adb-e00d-4114-8d76-04bd30_D2 Normal 0.2
903d5fe0-970a-47be-a97f-3cc914_D2 Normal 0.2
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal 0.1
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.1
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal 0.1
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal 0.1
2167c594-c33f-4795-b95b-69bd07_D2 Tumor 0.1
c307b7b0-534a-45fa-a420-35f773_D2 Normal 0.1
bed27f66-ef3b-4868-b4ad-205018_D2 Normal 0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.0
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.0
1bf00d93-240f-47e8-8055-f546b0_D2 Normal 0.0
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.0
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal 0.0
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.0
41a04113-2061-4923-bca5-da586c_D2 Normal 0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal 0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor -0.1
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal -0.1
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor -0.1
47d2a435-b203-4438-ae72-53c424_D2 Normal -0.1
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.1
0d5554d1-1653-4589-a44f-43113e_D2 Normal -0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor -0.1
a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.1
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.1
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor -0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal -0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor -0.1
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal -0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor -0.1
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor -0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal -0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal -0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor -0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor -0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor -0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor -0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal -0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal -0.2
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor -0.2
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal -0.2
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal -0.2
974e136f-7020-4a38-b9c1-094df9_D2 Normal -0.2
62627b73-1763-48bc-8eea-e5bd76_D2 Normal -0.2
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal -0.2
853ecf90-71e6-4156-a56f-a34b65_D2 Normal -0.2
d80408d6-598d-4411-ab34-eb2545_D2 Normal -0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor -0.3
82157a70-12f1-4913-b548-d98881_D2 Normal -0.3
359f5c81-2575-497e-8630-e4866f_D2 Normal -0.3
154115ac-2ec2-439d-b55e-0464ee_D2 Normal -0.3
1563ef63-d2e6-406f-adc1-255949_D3 Tumor -0.3
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor -0.3
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal -0.3
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor -0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor -0.3
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal -0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal -0.4
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor -0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal -0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.4
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor -0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal -0.4
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal -0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor -0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal -0.4
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor -0.4
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal -0.4
377cdd37-d1bd-4042-997e-478a0f_D2 Normal -0.4
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor -0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor -0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor -0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal -0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor -0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor -0.5
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor -0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal -0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor -0.5
23e938d0-92b8-4aea-90c1-4385df_D2 Normal -0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor -0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal -0.5
64ed43a2-f083-43cb-9d0d-118495_D2 Normal -0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal -0.5
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal -0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.5
b3696374-c6c0-49dd-833e-596e26_D2 Normal -0.5
411d9597-c785-4de5-b449-29a80d_D2 Normal -0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal -0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal -0.5
4b263734-430f-41dc-a296-8691f0_D3 Tumor -0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor -0.5
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor -0.5
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor -0.6
5e886f1c-8165-4232-9591-d80799_D2 Normal -0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor -0.6
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal -0.6
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor -0.6
0c330883-ab58-4a5a-bff7-07d283_D2 Normal -0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal -0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor -0.6
1c070992-647b-4173-a481-904c4d_D2 Normal -0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor -0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor -0.7
54565eae-05c5-4dae-bde9-ae4874_D2 Normal -0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor -0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.7
3d797911-d476-436f-9cce-33e20c_D8 Tumor -0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal -0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal -0.7
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor -0.7
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -0.7
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor -0.7
bda3787a-1397-4716-bb17-4992a8_D2 Normal -0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal -0.8
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -0.8
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor -0.8
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor -0.8
b2400046-1d25-429d-a821-6040a6 Tumor -0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor -0.8
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal -0.9
2b810478-7956-4a8b-870d-184859_D2 Tumor -0.9
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor -0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal -0.9
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor -0.9
092c5a37-325b-4181-b230-2d8fff_D2 Tumor -0.9
8cc7e656-0152-4359-8566-0581c3 Tumor -0.9
e070ff10-058b-4733-93ab-bdd702_D2 Normal -0.9
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor -0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor -1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor -1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor -1.1
c65afd57-530c-4366-b2c8-463a46_D2 Tumor -1.1
a84149b1-8453-45f0-8400-d7b12f_D2 Normal -1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor -1.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor -1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor -1.3
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor -1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor -1.3
0f238226-864c-4de0-8c61-01e729_D2 Tumor -1.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor -1.4
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor -1.5
43192517-085e-450e-9481-0a6713_D3 Tumor -1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA007575

Antibody CAB002601

Antibody CAB040549
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Adenocarcinoma, NOS

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