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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
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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.

RPS24 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.

: 3309
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 4679.5
Number of samples 254
Samples
Sample Description pTPM
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 11454.7
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 11153.5
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 11020.8
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 10858.2
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 10522.2
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 10173.8
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 9519.4
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 9402.8
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 9284.6
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 8684.7
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 8429.3
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 8099.2
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 8038.6
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 7991.3
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 7755.7
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 7608.7
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 7238.8
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 7137.2
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 7057.7
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 7019.7
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 6946.8
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 6923.3
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 6842.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 6822.7
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 6804.8
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 6791.6
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 6758.5
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 6647.3
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 6635.5
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 6472.7
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 6466.8
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 6422.0
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 6391.2
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 6390.0
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 6335.5
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 6315.0
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 6275.7
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 6271.0
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 6268.1
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 6250.5
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 6223.3
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 6221.0
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 6187.7
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 6177.6
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 6155.4
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 6062.7
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 6028.1
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 5996.1
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 5974.9
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 5925.5
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 5924.7
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 5897.8
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 5881.6
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 5872.1
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 5859.3
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 5845.2
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 5835.8
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 5824.0
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 5800.8
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 5694.9
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 5655.5
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 5612.3
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 5598.2
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 5574.2
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 5547.5
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 5496.8
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 5481.9
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 5454.3
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 5405.7
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 5387.6
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 5330.5
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 5322.0
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 5306.0
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 5224.1
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 5215.1
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 5214.9
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 5213.2
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 5166.4
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 5161.7
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 5147.6
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 5145.1
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 5129.1
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 5116.0
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 5111.9
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 5110.9
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 5106.9
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 5088.6
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 5069.0
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 5055.8
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 5045.2
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 5030.5
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 4995.3
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 4976.3
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 4971.1
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 4935.9
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 4856.0
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 4843.0
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 4829.7
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 4814.7
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 4814.6
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 4799.0
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 4795.6
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 4768.3
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 4740.9
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 4733.5
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 4730.6
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 4728.4
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 4703.8
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 4702.9
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 4693.4
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 4693.4
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 4648.7
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 4643.7
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 4605.8
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 4590.6
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 4583.8
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 4531.1
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 4488.0
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 4465.6
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 4460.4
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 4442.1
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 4440.9
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 4404.8
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 4392.7
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 4382.3
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 4353.9
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 4348.5
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 4332.3
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 4322.2
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 4309.2
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 4290.6
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 4256.7
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 4250.1
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 4233.3
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 4230.0
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 4222.5
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 4210.7
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 4176.5
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 4164.7
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 4150.8
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 4150.1
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 4143.2
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 4134.5
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 4121.4
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 4115.5
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 4114.3
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 4095.8
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 4080.7
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 4076.0
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 4067.0
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 4066.2
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 4063.1
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 4051.3
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 4020.2
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 4012.0
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 3988.9
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 3972.0
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 3947.1
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 3926.6
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 3925.8
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 3921.5
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 3904.0
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 3898.8
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 3886.3
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 3881.7
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 3878.0
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 3825.3
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 3810.0
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 3807.6
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 3780.1
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 3766.6
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 3763.0
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 3757.8
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 3750.5
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 3747.1
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 3718.6
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 3650.1
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 3632.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 3604.3
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 3602.1
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 3599.6
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 3567.1
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 3538.8
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 3532.6
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 3509.1
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 3509.1
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 3500.0
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 3463.3
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 3450.5
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 3442.8
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 3434.9
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 3430.7
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 3378.2
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 3366.2
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 3361.9
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 3349.0
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 3341.1
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 3340.1
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 3339.1
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 3335.2
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 3326.5
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 3291.6
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 3282.9
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 3243.0
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 3232.5
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 3228.6
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 3221.9
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 3196.7
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 3158.7
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 3149.1
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 3145.4
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 3076.6
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 3061.8
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 3046.8
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 3040.3
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 3035.4
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 2996.8
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 2987.3
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 2986.9
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 2963.9
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 2926.2
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 2913.1
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 2911.8
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 2901.6
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 2899.7
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2888.3
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 2855.5
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 2805.1
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 2766.6
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 2760.7
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 2742.9
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 2717.9
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 2668.2
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 2666.0
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 2579.3
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 2522.4
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 2510.4
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 2494.8
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 2489.1
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 2473.7
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 2453.9
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 2450.6
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 2411.3
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 2409.7
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 2405.9
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 2334.8
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 2324.7
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 2316.6
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 2046.3
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 1969.9
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 1889.3
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 1873.7
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 1866.6
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 1790.6
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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.

RPS24 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.

: 3283.21
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 2802.3
Number of samples 486
Samples
Sample Description pTPM
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 14965.2
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 13269.5
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 8101.1
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 7362.1
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 6785.1
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 6408.2
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 6033.8
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 5912.5
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 5547.9
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 5046.6
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 4846.6
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 4804.8
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 4676.7
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 4604.3
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 4567.8
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 4404.3
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 4389.3
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 4371.7
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 4333.7
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 4280.6
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 4271.1
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 4230.4
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 4224.4
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 4213.7
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 4156.6
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 4117.9
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 4100.9
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 4098.9
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 4080.6
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 4077.6
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 4000.0
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 3979.9
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 3974.2
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 3965.6
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 3952.0
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 3942.3
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 3938.7
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 3933.8
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 3897.7
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 3874.1
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 3872.0
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 3871.2
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 3865.4
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 3836.7
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 3833.6
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 3833.1
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 3830.1
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 3823.6
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 3749.7
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 3730.3
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 3712.7
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 3706.6
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 3696.3
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 3672.0
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 3649.2
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 3626.3
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 3603.7
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 3575.8
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 3561.0
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 3533.8
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 3532.2
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 3530.4
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 3506.7
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 3502.3
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 3481.1
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 3480.2
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 3478.0
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 3475.0
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 3453.1
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 3448.8
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 3443.9
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 3434.0
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 3433.5
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 3428.4
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 3427.8
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 3426.2
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 3421.4
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 3410.2
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 3398.9
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 3397.2
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 3392.7
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 3390.7
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 3383.1
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 3378.4
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 3369.3
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 3366.9
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 3366.4
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 3365.2
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 3362.7
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 3362.4
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 3359.6
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 3351.9
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 3342.2
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 3341.1
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 3327.5
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 3322.8
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 3320.1
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 3311.0
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 3311.0
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 3289.5
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 3289.0
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 3283.2
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 3281.2
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 3271.7
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 3270.4
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 3268.2
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 3259.2
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 3253.2
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 3252.8
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 3249.5
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 3244.7
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 3240.0
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 3235.1
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 3232.0
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 3231.8
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 3230.2
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 3227.8
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 3227.5
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 3188.2
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 3186.7
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 3181.6
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 3168.5
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 3167.6
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 3155.5
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 3148.6
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 3145.8
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 3135.2
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 3124.3
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 3121.6
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 3113.7
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 3112.2
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 3110.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 3099.6
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 3085.6
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 3074.1
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 3073.3
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 3071.9
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 3062.6
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 3061.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 3053.1
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 3045.9
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 3040.7
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 3038.0
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 3036.6
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 3034.6
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 3027.1
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 3024.2
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 3017.9
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 3013.1
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 3007.9
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 3005.9
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 2997.3
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 2984.1
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 2983.9
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 2982.9
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 2979.7
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 2971.5
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 2966.0
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 2963.3
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 2959.1
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 2957.8
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 2957.0
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 2955.3
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 2953.9
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 2953.3
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 2952.4
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 2948.7
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 2948.6
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 2944.5
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 2940.9
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 2940.6
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 2939.3
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 2939.1
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 2934.5
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 2931.4
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 2921.8
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 2920.7
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 2920.0
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 2914.7
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 2909.2
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 2907.7
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 2907.6
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 2896.0
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 2895.4
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 2893.1
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 2891.2
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 2889.8
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 2887.6
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 2886.3
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 2884.5
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 2877.0
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 2871.7
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 2865.2
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 2864.2
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 2860.4
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 2857.4
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 2849.2
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 2848.7
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 2842.0
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 2841.6
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 2837.3
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 2836.7
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 2835.1
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 2831.6
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 2828.3
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 2827.0
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 2826.6
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 2824.9
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 2822.1
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 2820.0
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 2818.9
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 2818.6
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 2818.0
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 2810.9
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 2802.5
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 2801.3
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 2795.0
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 2792.7
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 2790.6
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 2786.8
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 2782.9
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 2778.6
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 2773.3
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 2773.0
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 2767.0
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 2766.7
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 2764.8
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 2759.3
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 2757.9
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 2753.2
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 2752.3
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 2752.0
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 2744.1
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 2737.3
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 2736.7
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 2731.3
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 2727.7
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 2719.0
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 2716.5
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 2713.7
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 2713.1
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 2704.4
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 2699.5
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 2694.2
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 2689.4
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 2688.4
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 2687.5
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 2685.8
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 2676.5
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 2672.4
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 2671.2
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 2661.4
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 2656.5
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 2653.9
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 2644.4
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 2641.1
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 2637.4
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 2635.3
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 2633.8
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 2631.2
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 2627.5
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 2627.0
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 2625.4
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 2616.1
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 2610.4
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 2600.6
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 2586.9
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 2576.8
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 2564.2
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 2563.8
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 2554.3
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 2549.0
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 2548.5
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 2547.6
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 2534.4
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 2532.4
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 2527.7
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 2519.2
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 2518.7
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 2514.8
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 2514.4
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 2509.8
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 2508.3
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 2507.3
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 2504.0
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 2499.3
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 2489.4
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 2489.3
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 2488.9
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 2485.8
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 2481.7
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 2480.8
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 2477.1
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 2476.2
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 2475.0
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 2473.9
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 2470.6
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 2457.7
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 2457.6
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 2457.5
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 2454.4
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 2453.5
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 2443.6
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 2442.5
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 2442.0
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 2438.8
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 2433.5
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 2432.6
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 2432.6
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 2426.9
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 2426.1
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 2418.3
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 2414.3
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 2412.6
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 2412.1
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 2409.4
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 2404.7
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 2403.5
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 2401.7
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 2399.6
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 2398.0
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 2397.4
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 2395.8
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 2394.5
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 2393.2
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 2385.4
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 2379.7
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 2375.2
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 2371.4
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 2371.0
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 2366.5
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 2363.4
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 2363.3
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 2356.4
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 2352.9
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 2352.4
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 2352.1
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 2351.7
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 2340.0
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 2338.2
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 2334.7
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2332.5
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 2331.8
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 2326.7
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 2318.8
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 2317.0
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 2302.1
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 2289.6
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 2281.8
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 2277.4
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 2276.7
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 2273.3
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 2259.2
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 2246.2
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 2242.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 2236.2
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 2227.5
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 2224.9
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 2224.2
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 2220.5
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 2216.5
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 2216.5
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 2215.1
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 2209.0
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 2201.1
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 2188.4
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 2188.2
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 2180.9
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 2177.6
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 2167.9
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 2165.6
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 2163.6
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 2161.0
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 2159.3
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 2155.9
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 2147.1
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 2140.3
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 2137.9
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 2137.2
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 2135.7
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 2131.3
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 2131.2
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 2117.1
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 2112.9
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 2108.5
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 2100.8
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 2088.3
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 2083.0
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 2082.9
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 2081.7
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 2075.3
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 2074.4
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 2069.2
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 2068.5
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 2061.3
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 2059.4
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 2057.7
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 2049.6
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 2033.9
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 2033.5
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 2023.0
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 2021.1
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 2019.2
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 2018.4
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 2018.3
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 2018.2
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 2014.1
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 2002.2
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 1997.8
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 1993.9
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 1981.6
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 1970.7
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 1970.5
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 1970.4
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 1962.3
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 1957.0
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 1954.7
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 1950.6
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 1934.1
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 1931.9
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 1924.6
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1924.1
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 1920.9
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 1915.8
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 1912.1
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 1909.0
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 1904.2
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 1901.6
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 1898.7
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 1896.8
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 1871.9
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 1864.5
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 1864.0
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 1862.3
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 1861.1
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 1860.4
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 1844.2
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 1842.9
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 1840.0
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 1838.9
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 1838.8
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 1836.9
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 1836.8
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 1821.4
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 1819.2
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 1818.0
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 1815.7
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 1791.2
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 1786.9
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 1783.3
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 1754.4
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 1726.4
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 1717.7
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 1716.6
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 1705.9
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 1686.6
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 1681.8
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 1680.9
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 1677.5
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 1673.6
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 1660.2
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 1649.3
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 1636.7
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 1635.9
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 1575.8
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 1571.5
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 1557.6
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 1557.4
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 1546.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 1541.2
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 1518.9
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 1488.7
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 1458.2
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 1444.7
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 1430.5
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 1426.8
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 1421.4
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 1418.7
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 1407.6
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 1358.4
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 1330.3
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 1300.4
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 1285.5
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 1283.0
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 1166.0
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 417.8
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.

RPS24 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.

: 3583.77
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 4721.6
Number of samples 88
Samples
Sample Description pTPM
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 11861.6
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 10990.7
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 8450.3
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 7991.5
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 7194.2
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 7160.3
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 7101.3
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 6590.4
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 6575.6
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 6520.5
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 6365.0
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 6163.3
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 6099.9
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 6068.3
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 6066.1
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 6036.3
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 5965.9
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 5926.8
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 5666.6
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 5404.8
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 5392.7
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 5299.3
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 5265.1
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 5263.0
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 5259.4
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 5235.0
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 5193.3
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 5184.1
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 5151.9
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 5145.8
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 5139.7
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 5133.9
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 5115.0
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 5114.6
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 5096.1
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 4931.9
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 4911.2
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 4885.1
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 4871.9
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 4857.8
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 4827.2
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 4635.4
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 4603.8
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 4596.1
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 4527.6
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 4525.6
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 4475.6
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 4475.3
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 4461.0
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 4185.5
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 4162.9
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 4050.3
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 3997.3
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 3995.3
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 3921.7
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 3900.8
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 3892.3
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 3886.5
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 3873.7
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 3834.8
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 3820.2
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 3801.7
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 3719.5
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 3638.0
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 3622.1
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 3588.5
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 3579.1
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 3492.1
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 3490.2
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 3473.0
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 3472.1
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 3447.1
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3434.1
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 3386.0
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 3343.5
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 3317.2
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 3209.7
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 3018.5
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 3011.0
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 2825.4
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 2641.3
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 2631.1
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 2618.8
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 2532.1
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 2328.5
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 2304.5
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 2175.8
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 2108.3
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.

RPS24 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.

: 1929.56
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 2426.0
Number of samples 207
Samples
Sample Description pTPM
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 5175.2
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 5011.3
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 4944.0
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 4613.9
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 4251.8
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 4156.8
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 4110.3
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 4003.6
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 3996.6
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 3956.9
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 3836.5
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 3813.7
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 3727.3
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 3723.1
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 3660.5
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 3635.1
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 3538.0
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 3517.8
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 3505.6
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 3485.5
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 3405.1
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 3374.7
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 3336.7
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 3329.0
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 3305.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 3282.1
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 3265.6
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 3164.6
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 3143.9
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 3123.9
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 3116.9
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 3116.3
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 3115.2
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 3105.5
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 3077.1
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 3061.7
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 3060.9
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 3055.3
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 3045.4
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 3043.9
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 3042.3
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 3017.3
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 2995.8
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 2992.3
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 2988.2
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 2985.8
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 2966.5
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 2963.9
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 2947.2
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 2922.0
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 2916.0
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 2915.4
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 2860.9
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 2831.5
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 2828.1
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 2803.7
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 2773.1
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 2771.8
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 2755.1
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 2749.1
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 2744.5
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 2726.5
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 2726.1
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 2699.7
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 2668.3
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 2662.6
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 2657.0
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 2647.7
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 2610.1
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 2593.9
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 2588.6
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 2587.2
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 2584.3
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 2582.5
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 2575.3
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 2575.2
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 2569.8
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 2566.9
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 2566.8
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 2565.1
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 2539.9
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 2534.3
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 2532.6
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 2532.2
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 2530.1
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 2518.1
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 2506.3
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 2503.4
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 2499.5
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 2477.1
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 2470.5
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 2467.9
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 2463.1
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 2449.5
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 2431.2
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 2424.9
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 2406.9
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 2385.9
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 2378.0
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 2375.6
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 2361.1
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 2355.8
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 2350.3
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 2349.8
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 2344.3
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2339.8
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 2328.3
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 2327.4
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 2320.9
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 2313.8
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 2290.4
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 2283.7
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 2278.1
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 2262.7
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 2261.3
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 2258.7
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 2242.1
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 2236.1
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 2235.3
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 2229.9
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 2222.1
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 2219.1
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 2204.7
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 2200.7
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 2199.1
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 2175.4
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 2167.9
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 2165.6
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 2149.5
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 2147.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 2144.6
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 2141.6
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 2126.7
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 2112.8
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 2095.2
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 2093.5
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 2087.0
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 2046.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 2044.5
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 2040.6
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 2036.9
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 2031.9
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 2001.3
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 1985.3
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 1955.3
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 1954.9
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 1931.7
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 1927.4
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 1924.2
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 1922.1
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 1918.9
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 1895.5
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 1888.8
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 1870.8
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 1863.3
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 1856.1
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 1854.8
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1844.4
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 1831.9
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 1822.7
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 1820.1
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 1818.8
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 1810.1
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 1805.0
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 1792.6
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1778.8
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 1760.6
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 1753.2
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 1739.0
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 1725.2
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1711.3
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 1700.6
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 1694.0
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 1691.1
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 1681.7
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 1665.3
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 1650.1
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 1632.5
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 1609.3
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 1599.8
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 1596.6
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 1590.9
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 1590.2
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 1536.6
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 1527.9
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 1508.7
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 1498.3
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 1494.8
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 1486.9
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 1465.1
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 1464.4
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 1464.3
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 1440.7
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 1436.9
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 1418.9
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 1415.8
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 1370.0
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 1355.6
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 1349.9
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 1298.8
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 1288.2
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 1242.3
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 1226.9
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 1190.5
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 1126.6
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 1068.2
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 82.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.6
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.5
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.5
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.5
8cc7e656-0152-4359-8566-0581c3 Tumor 0.4
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.4
43192517-085e-450e-9481-0a6713_D3 Tumor 0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.4
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.3
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.3
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor 0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.3
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.3
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.3
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.3
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.3
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.3
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor 0.2
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.2
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.2
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.2
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.2
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor 0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.2
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal 0.2
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.2
b2400046-1d25-429d-a821-6040a6 Tumor 0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.2
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.1
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.1
5e886f1c-8165-4232-9591-d80799_D2 Normal 0.1
a313f6ef-5994-4d49-9e66-c26911_D2 Normal 0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.1
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal 0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.1
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.1
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.1
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.1
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.1
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.0
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.0
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.0
0f238226-864c-4de0-8c61-01e729_D2 Tumor 0.0
377cdd37-d1bd-4042-997e-478a0f_D2 Normal 0.0
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.0
903d5fe0-970a-47be-a97f-3cc914_D2 Normal 0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.0
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.0
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.0
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.0
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.0
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.0
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 0.0
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853ecf90-71e6-4156-a56f-a34b65_D2 Normal -0.5
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206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal -0.6
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359f5c81-2575-497e-8630-e4866f_D2 Normal -0.7
1136008b-97ce-49b0-bf24-abbea6_D2 Normal -0.7
411d9597-c785-4de5-b449-29a80d_D2 Normal -0.8
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 HPA003364
 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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