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RPS2
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  • RPS2
CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

RPS2 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.

: 3685.16
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 4539.6
Number of samples 254
Samples
Sample Description pTPM
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 8299.7
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 8199.1
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 8001.3
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 7876.7
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 7726.1
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 7597.0
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 7548.5
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 7367.3
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 7341.7
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 7170.3
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 7100.7
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 6864.2
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 6831.7
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 6701.3
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 6698.7
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 6633.3
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 6573.8
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 6543.1
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 6486.0
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 6450.0
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 6403.6
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 6367.2
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 6354.6
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 6345.8
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 6334.1
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 6261.9
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 6247.8
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 6220.5
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 6210.2
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 6187.2
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 6186.7
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 6133.7
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 6131.4
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 6130.2
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 6072.5
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 5976.8
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 5968.8
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 5958.9
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 5935.2
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 5870.7
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 5867.7
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 5835.5
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 5805.0
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 5801.2
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 5792.7
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 5746.7
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 5746.0
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 5713.1
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 5689.0
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 5678.5
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 5629.7
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 5613.4
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 5569.5
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 5551.5
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 5514.6
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 5501.0
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 5426.6
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 5426.3
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 5426.1
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 5424.7
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 5414.4
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 5411.1
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 5360.1
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 5351.3
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 5326.6
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 5324.7
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 5317.9
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 5289.4
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 5276.0
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 5267.8
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 5261.7
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 5259.6
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 5256.2
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 5247.2
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 5243.5
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 5207.2
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 5200.0
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 5189.6
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 5188.6
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 5167.4
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 5122.3
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 5110.0
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 5022.5
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 5005.2
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 5002.6
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 4913.4
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 4901.1
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 4900.7
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 4886.7
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 4863.4
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 4831.2
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 4809.5
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 4792.9
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 4790.8
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 4778.2
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 4774.6
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 4767.0
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 4763.3
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 4761.4
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 4756.4
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 4701.7
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 4679.9
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 4678.0
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 4677.3
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 4676.2
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 4666.5
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 4663.2
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 4661.1
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 4658.7
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 4642.4
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 4614.6
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 4605.2
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 4577.3
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 4556.9
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 4534.4
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 4526.6
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 4500.0
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 4478.8
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 4469.6
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 4450.8
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 4446.4
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 4434.2
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 4428.7
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 4426.1
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 4409.7
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 4407.1
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 4397.9
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 4371.2
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 4360.5
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 4354.9
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 4339.1
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 4335.6
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 4330.9
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 4326.1
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 4325.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 4324.7
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 4321.7
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 4304.6
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 4297.3
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 4277.7
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 4273.9
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 4268.8
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 4252.3
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 4236.9
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 4227.7
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 4190.0
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 4189.5
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 4171.1
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 4139.6
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 4106.5
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 4102.7
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 4077.5
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 4071.1
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 4047.0
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 4044.4
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 4034.6
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 4032.5
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 4030.0
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 4013.9
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 4004.6
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 3998.7
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 3991.1
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 3975.1
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 3967.1
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 3952.1
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 3928.6
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 3914.0
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 3902.0
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 3896.5
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 3869.6
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 3868.5
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 3864.4
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 3842.0
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 3832.8
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 3820.2
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 3819.6
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 3818.3
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 3762.5
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 3757.9
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 3729.8
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 3721.6
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 3721.6
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 3718.0
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 3717.1
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 3699.4
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 3697.7
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 3687.9
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 3685.2
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 3682.0
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 3671.9
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 3664.4
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 3624.4
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 3618.5
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 3604.7
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 3596.4
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 3589.2
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 3587.4
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 3563.6
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 3553.0
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 3523.5
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 3509.4
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 3501.2
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 3476.3
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 3473.4
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 3464.8
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 3430.2
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 3414.9
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 3384.3
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 3365.6
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 3361.7
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 3360.9
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 3339.8
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 3335.0
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 3290.3
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 3283.2
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 3261.2
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 3242.0
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 3226.5
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 3209.6
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 3204.0
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 3172.1
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 3159.8
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 3140.0
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 3137.7
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 3117.3
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 3109.4
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 3082.9
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 3063.6
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 3055.1
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 3038.7
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 3017.0
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 2952.2
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 2944.2
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 2878.7
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 2876.8
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 2868.3
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 2841.7
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 2838.8
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 2827.5
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 2763.2
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 2695.6
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 2507.9
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 2444.7
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2438.7
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 2346.5
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 2271.3
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 2270.4
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 2237.2
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 2126.7
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 2115.4
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 2062.2
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 1954.9
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 1628.4
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 1572.3
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COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

RPS2 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.

: 4265.02
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 4216.8
Number of samples 486
Samples
Sample Description pTPM
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 9480.9
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 8819.9
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 8611.2
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 8368.5
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 8322.2
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 8251.4
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 8147.1
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 7970.3
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 7804.4
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 7730.0
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 7527.8
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 7502.1
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 7486.0
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 7358.3
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 7346.9
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 7269.8
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 7242.0
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 7214.3
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 7184.6
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 7073.5
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 7031.5
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 7012.6
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 6841.5
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 6778.5
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 6764.9
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 6695.3
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 6685.9
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 6569.7
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 6565.2
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 6557.7
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 6524.9
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 6432.8
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 6409.2
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 6400.1
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 6371.7
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 6362.7
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 6298.9
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 6272.0
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 6262.2
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 6258.7
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 6232.2
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 6136.2
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 6040.0
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 6017.0
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 5998.4
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 5989.5
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 5975.4
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 5960.8
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 5950.4
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 5925.9
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 5909.4
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 5890.1
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 5871.8
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 5854.5
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 5828.6
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 5813.2
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 5812.6
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 5800.4
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 5797.4
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 5797.0
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 5778.8
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 5767.6
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 5767.1
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 5741.6
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 5732.0
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 5697.9
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 5654.9
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 5651.6
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 5635.5
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 5634.0
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 5630.3
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 5620.8
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 5584.1
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 5579.4
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 5572.4
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 5561.0
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 5540.4
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 5539.4
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 5505.0
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 5491.3
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 5487.7
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 5481.0
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 5472.4
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 5418.7
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 5416.6
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 5413.7
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 5406.0
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 5384.1
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 5381.6
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 5373.5
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 5355.6
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 5350.8
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 5350.0
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 5332.8
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 5328.4
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 5311.5
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 5297.7
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 5292.0
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 5274.6
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 5269.6
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 5255.6
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 5255.4
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 5252.8
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 5246.2
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 5221.5
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 5197.4
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 5182.0
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 5132.9
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 5125.9
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 5111.0
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 5108.3
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 5084.1
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 5078.0
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 5074.7
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 5073.3
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 5064.9
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 5061.6
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 5034.4
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 5022.2
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 5019.5
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 5018.5
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 5018.1
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 5012.2
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 5006.2
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 5006.0
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 4986.1
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 4951.8
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 4944.8
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 4936.6
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 4931.4
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 4930.0
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 4916.9
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 4912.2
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 4904.6
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 4884.8
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 4879.4
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 4872.0
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 4865.5
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 4858.9
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 4856.0
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 4848.0
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 4831.3
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 4820.4
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 4810.1
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 4809.2
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 4803.6
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 4793.9
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 4782.9
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 4777.9
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 4765.4
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 4762.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 4760.3
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 4753.8
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 4726.7
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 4724.1
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 4718.2
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 4717.5
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 4716.6
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 4714.7
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 4710.0
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 4697.0
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 4659.0
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 4651.5
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 4637.8
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 4633.5
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 4624.4
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 4606.6
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 4604.8
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 4603.3
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 4590.3
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 4589.5
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 4587.5
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 4585.3
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 4584.3
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 4581.8
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 4558.7
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 4544.8
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 4532.8
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 4531.9
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 4524.9
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 4521.0
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 4512.4
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 4502.2
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 4473.7
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 4465.2
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 4458.0
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 4452.0
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 4422.4
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 4422.4
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 4392.3
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 4390.2
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 4389.8
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 4378.8
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 4372.7
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 4359.8
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 4359.6
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 4356.7
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 4352.1
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 4347.4
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 4329.1
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 4327.4
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 4325.6
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 4320.3
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 4318.4
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 4315.1
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 4297.8
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 4294.4
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 4294.1
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 4288.4
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 4284.1
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 4283.5
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 4282.2
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 4281.0
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 4269.6
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 4266.0
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 4264.0
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 4261.5
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 4259.5
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 4253.9
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 4239.7
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 4235.8
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 4226.5
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 4226.4
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 4224.9
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 4223.0
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 4212.9
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 4212.2
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 4208.5
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 4202.8
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 4176.7
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 4168.5
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 4165.8
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 4163.8
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 4161.9
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 4144.0
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 4143.9
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 4142.4
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 4142.0
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 4133.1
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 4130.0
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 4117.9
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 4116.2
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 4101.8
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 4100.4
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 4096.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 4087.5
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 4084.3
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 4083.0
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 4079.5
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 4068.6
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 4066.6
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 4065.9
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 4064.0
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 4061.8
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 4047.3
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 4046.8
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 4015.2
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 4006.3
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 4005.4
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 3997.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 3997.0
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 3995.0
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 3988.3
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 3987.1
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 3981.8
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 3975.4
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 3970.3
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 3957.5
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 3956.9
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 3945.7
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 3939.6
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 3938.2
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 3936.7
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 3933.5
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 3910.9
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 3908.5
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 3905.4
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 3904.2
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 3882.6
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 3876.8
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 3869.7
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 3859.2
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 3854.9
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 3841.3
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 3821.9
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 3818.7
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 3815.6
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 3810.6
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 3805.7
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 3805.5
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 3787.7
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 3786.1
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 3767.2
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 3767.0
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 3739.7
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 3730.0
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 3724.0
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 3721.7
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 3719.6
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 3705.0
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 3701.2
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 3690.8
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 3681.9
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 3674.1
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 3672.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 3667.5
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 3652.7
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 3641.0
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 3638.6
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 3631.4
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 3625.5
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 3623.6
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 3621.5
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 3615.5
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 3609.8
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 3608.1
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 3606.1
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 3596.3
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 3594.6
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 3592.7
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 3587.4
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 3587.1
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 3583.5
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 3578.4
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 3576.4
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 3573.9
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 3571.9
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 3571.1
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 3570.5
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 3564.6
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 3549.2
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 3547.4
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 3544.7
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 3542.8
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 3540.6
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 3537.7
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 3525.0
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 3522.1
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 3518.1
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 3504.9
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 3492.1
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 3484.1
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 3438.2
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 3428.1
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 3396.5
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 3391.9
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 3390.1
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 3389.2
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 3360.8
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 3350.8
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 3322.0
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 3321.2
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 3317.9
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 3316.3
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 3315.0
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 3313.9
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 3281.2
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 3276.2
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 3267.9
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 3264.5
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 3259.3
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 3258.2
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 3221.3
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 3210.1
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 3187.5
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 3162.1
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 3157.9
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 3142.9
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 3141.2
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 3136.9
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 3136.3
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 3132.1
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 3119.2
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 3099.3
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 3097.1
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 3095.9
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 3087.5
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 3066.9
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 3063.3
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 3046.3
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 3043.0
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 3029.0
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 3003.5
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 2999.8
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 2987.8
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 2985.0
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 2983.0
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 2981.8
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 2973.2
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 2972.3
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 2972.1
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 2965.5
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 2965.4
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 2964.2
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 2960.6
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 2960.3
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 2955.6
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 2953.0
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 2936.9
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 2926.6
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 2926.1
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 2920.9
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 2916.7
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 2915.1
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 2906.5
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 2883.2
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 2880.7
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 2880.6
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 2879.9
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 2879.6
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 2870.3
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 2852.5
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 2832.7
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 2815.1
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 2803.7
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 2786.7
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 2778.6
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 2774.2
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 2773.8
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 2750.6
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 2746.8
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 2740.8
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 2738.9
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 2735.1
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 2714.8
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 2711.0
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 2709.4
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 2700.4
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 2685.4
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 2682.0
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 2677.5
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 2662.1
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 2661.5
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 2651.8
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 2629.7
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 2628.0
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 2611.2
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 2594.3
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 2579.7
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 2574.1
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 2557.5
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 2519.9
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 2516.7
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 2507.4
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 2492.6
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 2480.1
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 2477.4
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 2473.6
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 2444.3
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 2442.8
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 2433.2
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 2375.6
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 2367.3
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 2365.7
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 2356.8
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 2352.2
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 2349.7
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 2313.9
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 2309.9
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 2307.9
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 2302.2
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 2275.8
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 2251.7
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 2242.7
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 2240.8
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 2239.1
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 2162.2
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 2149.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 2148.0
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 2115.9
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 2071.4
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 2062.5
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 2042.8
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 2042.6
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 2023.5
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 1976.0
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 1865.9
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1850.5
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 1784.8
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 1769.0
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 1670.3
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 1385.6
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 1332.7
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 1225.5
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 1138.8
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 163.9
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.

RPS2 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.

: 3436.04
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 4365.0
Number of samples 88
Samples
Sample Description pTPM
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 8453.4
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 7686.8
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 6954.0
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 6414.1
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 6313.9
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 6076.8
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 5805.9
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 5801.0
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 5791.8
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 5763.4
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 5693.2
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 5687.3
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 5666.7
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 5637.1
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 5558.6
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 5498.9
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 5496.8
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 5460.7
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 5392.5
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 5313.4
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 5307.3
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 5249.8
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 5231.7
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 5195.5
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 5093.2
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 4998.9
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 4948.0
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 4894.2
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 4838.3
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 4796.0
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 4771.0
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 4760.9
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 4664.6
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 4643.0
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 4616.4
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 4611.5
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 4587.3
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 4574.3
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 4503.2
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 4469.9
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 4441.6
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 4404.8
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 4403.2
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 4380.4
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 4342.0
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 4282.1
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 4243.0
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 4184.0
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 4163.5
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 4067.8
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 4048.9
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 3989.7
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 3915.0
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 3840.6
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 3837.9
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 3832.4
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 3797.4
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 3790.9
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 3715.8
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 3707.9
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 3575.0
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 3557.2
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 3540.8
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 3537.5
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 3534.8
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 3534.6
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 3532.5
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 3503.8
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 3461.7
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 3436.0
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 3411.8
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 3307.4
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 3297.8
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 3142.2
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 3108.2
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 3069.6
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 2779.6
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 2771.2
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 2759.4
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 2747.1
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 2737.4
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 2709.3
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 2656.8
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 2482.9
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 2477.0
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 2409.1
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 2361.4
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 2072.7
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

RPS2 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.

: 3848.69
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 3466.9
Number of samples 207
Samples
Sample Description pTPM
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 8966.6
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 8774.8
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 7802.1
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 7713.9
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 7413.9
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 7380.3
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 6713.0
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 6386.0
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 6370.7
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 5950.5
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 5720.3
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 5669.5
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 5626.7
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 5276.0
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 5210.4
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 5204.3
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 5163.2
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 5118.8
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 5101.7
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 5036.8
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 5001.4
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 4973.2
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 4966.1
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 4959.2
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 4925.6
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 4898.2
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 4747.4
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 4709.1
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 4705.2
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 4668.7
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 4571.5
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 4530.6
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 4516.8
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 4494.2
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 4461.9
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 4457.3
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 4442.2
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 4433.0
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 4386.9
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 4383.5
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 4373.2
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 4366.9
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 4353.7
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 4350.0
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 4322.5
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 4300.3
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 4260.4
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 4259.9
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 4224.6
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 4215.7
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 4162.5
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 4161.6
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 4136.0
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 4121.3
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 4101.0
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 4096.4
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 4086.0
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 4076.3
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 4039.9
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 4003.5
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 3991.5
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 3931.2
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 3915.3
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 3872.5
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 3868.9
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 3859.5
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 3837.9
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 3831.9
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 3803.6
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 3773.3
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 3772.2
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 3771.2
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 3717.7
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 3675.6
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 3648.6
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 3640.8
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 3639.0
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 3624.5
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 3623.4
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 3590.4
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 3588.7
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 3582.3
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 3579.8
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 3565.3
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 3534.6
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 3531.3
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 3527.2
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 3502.2
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 3456.6
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 3438.9
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 3429.5
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 3413.1
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 3390.8
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 3347.6
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 3318.2
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 3316.6
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 3310.8
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 3307.4
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 3306.9
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 3303.3
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 3296.1
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 3285.0
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 3253.8
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 3248.2
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 3245.8
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 3196.4
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 3190.1
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 3157.7
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 3131.6
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 3117.5
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 3102.4
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 3101.6
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 3089.2
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 3077.2
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 3073.4
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 3067.7
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 3061.6
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 3059.8
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 3051.3
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 3039.9
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 3039.4
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 3021.0
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 3016.8
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 3012.2
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 2992.8
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 2975.2
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 2934.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 2931.8
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 2886.0
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 2871.2
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 2862.3
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 2862.2
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 2848.0
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 2836.0
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 2824.7
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 2807.2
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 2766.9
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 2766.0
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 2762.4
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 2757.9
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 2739.8
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 2733.9
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 2732.5
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 2731.3
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 2710.7
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 2705.2
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 2663.9
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 2656.1
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 2643.9
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 2642.1
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 2639.5
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 2628.6
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 2617.3
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 2599.3
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 2587.6
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 2582.7
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 2578.2
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 2566.7
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 2559.6
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 2558.3
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 2553.2
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 2537.5
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 2516.9
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 2513.4
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 2513.3
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 2462.3
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 2438.5
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 2429.8
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 2419.3
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 2416.5
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 2409.5
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 2378.9
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 2361.6
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 2353.8
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 2338.4
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 2312.2
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 2301.4
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 2296.4
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 2282.7
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 2260.4
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 2236.0
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 2205.1
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 2188.0
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 2143.9
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 2115.9
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 2088.7
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 2084.1
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 2038.6
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 2020.0
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 1915.8
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 1895.0
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 1862.3
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 1844.8
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 1839.9
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 1803.1
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 1702.2
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 1688.5
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 1685.3
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 1674.8
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 1668.2
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 1611.7
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1603.9
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 1540.3
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 1531.8
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 1451.5
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 1345.2
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 295.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.5
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.4
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.3
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.3
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor 0.3
43192517-085e-450e-9481-0a6713_D3 Tumor 0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.3
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.2
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.2
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.2
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.2
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.2
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.2
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.2
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.2
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.2
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor 0.2
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.2
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.2
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.1
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.1
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.1
8cc7e656-0152-4359-8566-0581c3 Tumor 0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.1
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.1
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.1
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.1
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.1
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.1
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.0
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.0
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.0
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.0
b2400046-1d25-429d-a821-6040a6 Tumor 0.0
1563ef63-d2e6-406f-adc1-255949_D3 Tumor 0.0
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.0
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.0
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.0
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.0
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.0
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal 0.0
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.0
2b810478-7956-4a8b-870d-184859_D2 Tumor 0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.0
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.0
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5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal -0.5
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.5
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.6
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.6
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.7
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.9
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 HPA055133
 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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