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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.
RPS12 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.
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.
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 TPM
3389.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9622.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7834.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7758.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7211.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6843.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6816.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6380.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6090.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5927.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5782.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5761.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5613.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
5574.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5572.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5532.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5359.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5321.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4874.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4827.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4805.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4778.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4712.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4683.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4676.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4666.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4646.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
4646.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4632.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4620.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4567.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4564.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4529.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4529.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4475.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4468.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4455.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4448.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4425.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4405.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4374.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4327.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4321.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4290.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4276.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4254.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4227.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4224.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4178.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4175.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4134.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4097.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4095.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4080.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4078.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4048.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4043.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4033.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3984.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3979.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3896.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3874.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3845.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3840.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3837.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3835.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3804.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3803.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3791.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3787.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3783.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3777.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3763.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3747.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3722.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3711.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3683.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3675.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3668.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3665.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3665.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3629.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3629.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3612.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3583.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3573.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3555.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3546.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3497.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3496.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3478.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3462.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3443.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3442.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3436.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3431.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3425.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3420.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3410.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3408.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3391.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3378.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3368.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3367.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3363.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3355.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3330.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
3329.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3327.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3325.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3308.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3308.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3307.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3306.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3304.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3300.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3296.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3284.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3270.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
3263.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3249.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3222.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3211.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3205.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3198.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3185.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3179.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3172.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
3172.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3166.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
3165.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3165.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3161.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3116.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3115.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3104.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3097.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3088.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3077.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3077.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3072.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3061.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3044.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
3044.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
3033.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3021.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3016.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3014.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
3012.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
3004.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2995.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2948.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2944.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2943.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2943.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2932.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2930.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2919.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2918.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2912.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2880.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2875.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2874.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2862.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2859.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2854.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2838.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2832.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2831.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2817.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2807.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2803.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2799.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2798.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2795.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2795.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2785.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2766.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2766.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2761.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2741.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2736.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2735.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2729.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2727.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2726.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2724.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2709.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2701.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2681.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2678.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2645.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2630.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2623.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2622.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2617.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2617.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2614.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2613.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2611.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2597.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2594.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2587.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2583.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2582.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2548.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2531.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2519.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2508.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2492.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2490.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2481.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2468.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2466.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2462.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2452.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2427.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2421.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2405.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2405.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2396.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2395.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2371.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2370.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2345.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2339.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2320.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2312.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2287.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2275.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2259.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2248.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2232.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2224.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
2194.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2177.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2167.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2105.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2096.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2094.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2087.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2068.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2066.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2041.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1987.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1982.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1965.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1933.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1911.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1870.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1748.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1616.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1581.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1372.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
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.
RPS12 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.
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.
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 TPM
1004.4
Number of samples
486
Samples
Sample
Description
TPM
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2370.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2055.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1991.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1886.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1885.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1865.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1864.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1862.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1856.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1833.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1812.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1806.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1762.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1743.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1738.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1729.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1721.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1720.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1720.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1718.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1714.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1684.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1682.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1671.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1642.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1611.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1607.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1573.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1558.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1556.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1548.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1542.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1538.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1534.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1532.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1531.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1525.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1523.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1517.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1513.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1513.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1507.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1503.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1494.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1494.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1493.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1476.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1470.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1466.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1462.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1456.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1451.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1444.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1435.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1426.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1423.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1419.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1416.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1414.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1413.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1408.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1403.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1393.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1389.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1378.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1373.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1372.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1370.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1365.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1364.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1356.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1349.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1346.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1344.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1343.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1340.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1335.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1331.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1329.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1329.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1320.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1315.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1314.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1313.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1308.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1306.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1302.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1300.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1291.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1291.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1287.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1287.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1286.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1283.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1282.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1281.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1276.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1273.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1272.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1272.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1265.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1262.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1256.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1251.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1251.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1249.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1248.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1242.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1237.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1235.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1232.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1232.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1224.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1224.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1222.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1222.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1218.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1217.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1215.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1215.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1215.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1212.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1211.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1210.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1208.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1208.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1206.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1204.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1198.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1193.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1189.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1189.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1189.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1189.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1189.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1189.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1188.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1185.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1184.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1184.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1184.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1178.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1177.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1177.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1176.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1170.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1165.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1160.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1160.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1160.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1160.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1159.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1147.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1146.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1145.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1144.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1144.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1143.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1142.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1139.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1136.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1133.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1132.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1131.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1127.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1127.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1126.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1125.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1106.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1104.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1102.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1100.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1100.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1099.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1099.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1098.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1098.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1098.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1095.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1094.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1093.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1093.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1092.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1087.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1087.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1084.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1082.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1081.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1074.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1074.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1072.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1066.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1066.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1060.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1059.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1058.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1057.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1055.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1047.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1047.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1039.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1036.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1035.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1030.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1029.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1028.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1026.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1021.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1020.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1018.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1017.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1016.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1015.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1014.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1011.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1004.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1001.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1001.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
998.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
997.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
994.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
993.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
992.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
992.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
991.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
988.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
988.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
987.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
985.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
984.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
984.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
982.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
980.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
975.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
974.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
973.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
966.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
963.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
962.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
961.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
953.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
949.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
949.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
947.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
946.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
943.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
941.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
941.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
939.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
939.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
939.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
937.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
935.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
935.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
930.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
926.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
925.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
925.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
925.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
923.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
923.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
923.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
918.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
917.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
914.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
914.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
913.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
913.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
912.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
911.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
911.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
907.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
907.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
907.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
905.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
905.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
903.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
898.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
892.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
891.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
889.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
888.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
888.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
887.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
884.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
883.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
882.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
881.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
881.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
878.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
877.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
874.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
874.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
870.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
870.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
870.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
870.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
869.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
867.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
865.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
864.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
863.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
861.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
861.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
859.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
858.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
858.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
855.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
855.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
852.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
852.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
850.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
847.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
847.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
846.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
843.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
841.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
841.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
833.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
832.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
829.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
829.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
827.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
825.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
823.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
818.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
817.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
816.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
811.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
810.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
808.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
806.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
805.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
804.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
803.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
801.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
795.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
794.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
794.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
792.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
790.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
790.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
790.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
787.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
785.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
783.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
783.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
782.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
781.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
779.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
779.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
776.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
773.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
771.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
771.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
769.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
769.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
768.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
766.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
761.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
760.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
760.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
757.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
756.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
756.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
754.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
753.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
753.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
748.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
748.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
747.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
742.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
739.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
739.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
738.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
736.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
736.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
735.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
734.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
734.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
734.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
733.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
732.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
730.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
724.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
722.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
722.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
720.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
719.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
717.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
708.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
708.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
708.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
707.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
698.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
698.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
698.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
694.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
692.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
692.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
691.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
687.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
682.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
680.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
679.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
676.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
671.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
668.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
667.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
666.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
666.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
665.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
664.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
663.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
662.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
662.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
659.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
658.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
658.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
656.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
655.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
654.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
650.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
648.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
646.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
645.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
644.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
642.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
641.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
636.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
628.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
625.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
621.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
621.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
619.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
619.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
619.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
618.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
617.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
615.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
613.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
612.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
611.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
604.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
599.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
598.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
596.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
593.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
585.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
584.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
581.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
580.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
579.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
578.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
578.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
577.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
572.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
568.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
563.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
550.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
550.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
545.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
545.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
545.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
544.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
530.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
526.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
522.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
519.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
500.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
497.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
496.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
493.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
475.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
471.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
470.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
469.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
451.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
450.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
436.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
413.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
386.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
385.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
224.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
47.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
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.
RPS12 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.
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.
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 TPM
3398.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6224.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6129.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6121.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5996.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5872.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5729.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5419.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5278.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4938.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4930.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4699.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4460.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4370.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4329.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4317.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4281.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4161.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4068.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
4000.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3993.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3951.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3945.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3915.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3894.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3886.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3794.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3765.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
3635.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3629.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3628.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3623.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3607.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3592.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3534.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3526.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3525.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3460.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3412.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3412.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3359.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3350.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
3341.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
3314.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3304.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3231.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3188.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3180.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3170.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
3069.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3041.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
3026.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2977.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2963.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2933.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2926.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2917.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2900.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2888.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2869.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2805.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2798.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2790.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2779.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2715.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2714.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2642.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2616.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2612.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2605.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2569.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2558.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2543.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2542.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2522.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2485.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2399.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2382.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2315.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2198.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2196.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2113.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2066.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2063.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1979.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1949.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1807.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1307.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
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.
RPS12 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.
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.
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 TPM
778.8
Number of samples
207
Samples
Sample
Description
TPM
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
2415.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2296.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2152.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2118.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1763.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1570.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1465.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1457.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1431.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1346.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1270.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1257.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1247.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1245.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1243.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1243.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1241.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1208.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1202.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1199.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1197.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1163.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1138.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1123.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1114.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1103.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1100.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1093.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1079.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1074.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1049.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1033.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1017.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
997.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
994.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
993.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
991.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
987.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
985.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
971.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
969.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
960.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
953.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
948.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
945.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
941.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
936.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
928.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
927.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
926.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
920.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
916.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
914.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
911.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
899.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
894.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
893.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
890.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
886.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
880.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
861.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
860.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
860.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
858.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
856.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
849.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
848.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
846.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
843.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
827.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
826.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
822.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
813.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
809.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
807.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
797.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
793.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
791.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
789.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
783.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
783.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
775.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
774.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
772.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
769.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
765.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
757.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
757.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
753.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
751.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
747.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
745.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
740.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
738.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
736.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
734.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
732.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
731.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
727.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
720.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
719.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
714.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
713.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
711.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
705.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
702.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
702.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
702.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
699.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
695.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
693.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
693.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
692.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
691.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
691.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
687.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
684.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
680.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
679.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
676.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
671.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
668.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
667.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
664.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
663.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
662.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
655.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
652.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
650.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
644.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
643.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
641.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
639.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
639.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
639.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
635.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
632.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
627.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
626.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
616.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
613.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
613.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
611.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
609.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
608.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
595.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
595.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
587.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
580.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
577.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
576.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
576.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
571.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
570.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
569.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
567.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
559.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
554.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
553.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
547.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
546.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
544.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
543.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
541.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
538.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
536.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
527.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
519.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
516.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
514.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
513.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
510.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
508.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
504.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
502.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
499.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
491.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
491.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
489.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
488.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
487.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
486.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
481.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
470.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
467.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
467.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
466.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
461.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
453.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
445.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
444.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
438.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
433.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
433.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
427.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
425.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
410.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
392.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
380.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
369.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
360.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
345.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
320.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
319.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
294.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
288.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
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.