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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.
RPS20 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
2921.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7095.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6801.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6419.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6310.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
6289.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5694.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5372.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
5288.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5234.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5152.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5115.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5023.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4928.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
4897.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4868.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4736.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4653.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4579.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4507.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4465.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4405.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
4401.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4396.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4388.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4295.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4294.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4280.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
4255.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4234.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4200.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4200.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4147.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4124.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4117.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4109.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4094.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4008.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3986.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3956.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3913.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3842.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3838.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3812.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3725.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3704.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3686.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3620.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3616.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3611.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3538.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3535.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3517.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3511.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3508.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3501.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3493.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3480.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3478.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3478.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3470.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3469.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3445.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
3443.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3443.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3439.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3427.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3409.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3381.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3372.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3356.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3355.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3340.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3290.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3270.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3268.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3267.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3263.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3245.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3193.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3187.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3181.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3170.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3168.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
3157.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3150.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3135.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3131.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3121.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3108.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3082.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3069.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3051.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2995.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2988.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2984.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2938.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2921.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2912.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2903.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2894.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2887.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2869.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2868.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2866.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2854.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2852.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2842.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2834.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2813.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2810.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2801.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2793.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2791.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2790.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2786.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2776.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2760.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2759.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2757.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2744.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2740.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2738.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2736.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2720.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2714.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2702.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2700.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2688.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2685.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2683.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2677.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2677.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2675.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2657.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2652.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2652.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2649.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2644.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2634.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2622.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2616.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2598.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2591.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2591.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2590.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2590.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2568.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2566.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2564.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2564.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2552.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2550.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2531.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2520.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2510.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2491.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2488.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2481.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2470.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2450.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2449.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2441.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2431.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2419.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2419.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2418.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2374.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2348.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2341.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2332.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2323.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2321.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2314.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2311.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2306.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2304.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2292.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2291.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2284.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2276.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2274.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2267.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2256.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2250.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2234.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2233.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2226.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2212.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2212.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2209.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2202.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2190.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2184.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2183.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2166.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2160.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2149.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2146.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2143.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2141.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2137.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2135.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2134.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2129.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2118.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2116.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2108.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2082.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2070.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2060.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
2048.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2046.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2035.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2031.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2030.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2027.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2025.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2021.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2013.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2004.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1987.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1983.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1955.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1937.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1936.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1904.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1900.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1890.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1875.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1838.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1832.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1826.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1797.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1788.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1783.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1759.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1726.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1706.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1691.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1680.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1676.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1654.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1633.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1609.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1581.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1556.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1512.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1511.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1499.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1460.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1437.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1345.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1322.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RPS20 is potential prognostic, high expression is unfavorable 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
1421.8
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3726.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3310.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3225.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
3193.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
3113.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
3053.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
3038.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2867.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2842.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2799.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
2794.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2752.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
2737.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2686.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2596.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
2554.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
2551.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
2550.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
2495.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
2440.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
2425.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
2383.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
2375.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2363.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
2353.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
2351.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2331.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2331.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2329.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
2315.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2296.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2267.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2264.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2191.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
2178.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2151.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2127.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2126.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2115.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
2111.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2101.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
2100.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
2079.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
2062.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2058.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
2036.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2034.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2030.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2014.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2008.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2006.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2002.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1995.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1990.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1980.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1975.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1975.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1974.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1973.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1963.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1943.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1940.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1934.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1933.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1933.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1930.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1925.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1919.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1916.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1915.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1908.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1908.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1898.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1890.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1880.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1880.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1875.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1875.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1874.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1863.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1863.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1858.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1858.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1852.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1852.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1850.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1848.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1847.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1841.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1835.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1812.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1806.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1803.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1801.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1796.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1789.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1782.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1773.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1771.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1768.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1766.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1764.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1762.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1752.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1752.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1735.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1729.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1722.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1720.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1718.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1717.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1710.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1708.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1702.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1687.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1683.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1679.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1673.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1670.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1670.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1670.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1666.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1664.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1663.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1661.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1658.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1649.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1648.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1647.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1646.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1643.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1637.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1637.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1634.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1632.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1631.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1617.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1616.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1612.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1607.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1606.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1604.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1586.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1579.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1573.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1566.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1565.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1563.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1561.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1560.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1554.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1553.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1553.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1552.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1541.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1541.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1538.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1535.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1532.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1528.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1524.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1523.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1522.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1515.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1515.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1509.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1508.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1501.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1499.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1498.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1493.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1492.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1485.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1481.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1479.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1473.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1470.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1464.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1464.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1463.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1461.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1461.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1456.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1455.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1453.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1451.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1451.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1447.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1443.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1443.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1442.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1441.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1440.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1434.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1430.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1429.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1427.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1427.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1426.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1425.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1425.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1424.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1424.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1419.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1418.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1418.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1418.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1416.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1414.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1401.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1401.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1399.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1393.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1389.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1389.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1389.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1387.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1385.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1382.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1378.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1378.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1377.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1374.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1372.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1370.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1367.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1363.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1363.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1362.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1360.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1360.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1350.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1344.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1343.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1342.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1340.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1337.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1336.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1331.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1328.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
1328.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1326.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1325.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1323.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1323.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1319.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1318.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1318.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1310.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1308.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1308.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1306.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1304.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1304.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1302.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1301.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1300.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1297.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1295.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1294.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1294.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1288.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1282.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1282.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1279.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1278.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1277.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1274.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1273.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1272.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1270.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1270.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1270.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1269.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1268.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1268.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1268.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1268.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1266.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1264.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1262.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1260.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1260.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1256.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1254.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1254.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1253.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1249.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1244.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1244.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1243.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1242.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1241.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1232.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1231.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1230.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1230.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1229.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1229.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1228.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1227.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1225.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1221.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1220.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1217.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1213.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1213.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1212.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1212.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1207.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1207.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1206.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1195.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1188.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1187.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1186.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1183.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1182.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1179.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1177.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1177.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1177.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1176.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1175.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1168.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1167.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1166.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1164.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1160.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1158.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1157.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1156.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1154.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1152.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1140.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1139.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1135.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1134.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1130.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1130.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1128.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1128.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1128.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1127.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1125.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1125.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1122.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1119.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1117.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1115.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1115.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1114.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1111.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1109.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1107.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1105.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1105.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1104.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1102.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1100.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1099.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1097.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1097.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1095.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1093.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1092.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1091.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1084.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1083.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1083.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1082.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1080.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1078.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1076.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1076.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1073.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1072.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1071.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1066.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1062.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1062.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1058.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1057.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1051.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1050.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1046.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1043.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1042.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1040.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1038.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1032.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1028.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1027.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1022.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1011.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1006.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1004.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1004.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1003.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1002.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
1000.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
999.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
996.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
995.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
994.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
987.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
986.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
981.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
980.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
979.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
976.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
973.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
968.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
967.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
963.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
962.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
960.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
957.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
950.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
950.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
946.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
942.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
940.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
938.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
938.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
933.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
931.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
926.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
923.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
920.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
917.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
915.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
913.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
904.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
899.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
893.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
893.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
887.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
883.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
880.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
879.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
879.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
876.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
868.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
867.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
867.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
865.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
865.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
865.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
860.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
851.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
846.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
846.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
846.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
843.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
842.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
842.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
837.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
834.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
833.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
830.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
826.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
823.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
822.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
820.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
804.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
799.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
798.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
785.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
781.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
777.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
774.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
751.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
742.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
727.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
701.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
695.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
679.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
665.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
655.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
650.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
606.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
588.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
560.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
23.8
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.
RPS20 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
3153.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
9305.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7901.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6524.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5900.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5520.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5510.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5382.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5108.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4954.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4660.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4525.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4441.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4212.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4169.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4125.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4031.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3921.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3801.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3794.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3746.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3730.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3587.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3569.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3566.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3506.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3420.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3419.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3356.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
3319.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3311.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3279.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3253.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3215.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3104.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2995.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2982.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2968.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2956.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2927.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2863.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2846.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2832.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2821.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2817.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2811.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2804.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2754.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2746.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2720.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2658.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2656.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2618.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2615.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2601.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2578.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2559.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2538.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2495.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2454.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2441.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2434.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2419.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2395.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2325.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2305.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2303.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2286.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2275.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2270.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2250.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2208.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2189.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2171.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2170.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2111.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2086.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2076.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1914.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1904.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1884.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1820.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1781.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1721.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1689.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1685.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1662.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1586.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
RPS20 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
1213.9
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
3217.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
2914.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
2766.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2515.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2431.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
2222.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2129.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
2114.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2113.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
2081.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2045.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1977.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1971.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1954.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1864.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1833.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1803.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1779.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1776.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1769.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1751.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1702.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1671.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1666.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1665.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1665.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1659.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1659.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1654.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1647.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1639.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1633.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1628.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1625.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1616.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1567.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1554.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1545.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1540.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1534.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1525.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1522.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1517.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1515.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1498.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1482.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1477.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1475.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1471.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1452.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1440.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1426.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1414.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1398.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1391.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1375.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1357.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1355.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1354.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1351.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1350.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1339.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1338.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1330.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1330.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1322.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1306.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1295.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1292.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1287.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1282.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1282.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1279.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1275.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1269.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1251.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1228.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1227.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1225.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1218.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1216.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1216.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1214.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1211.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1208.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1200.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
1200.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1195.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1189.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1188.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1185.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1184.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1181.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1174.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1170.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1168.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1166.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1161.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1158.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1138.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1137.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1127.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1118.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1116.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1104.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1078.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1076.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1075.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1073.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1071.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1066.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1062.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1061.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1056.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1056.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1048.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1039.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1037.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1037.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1032.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1029.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1027.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1025.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1023.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1023.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1019.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
1017.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1016.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1011.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1011.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
1010.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1008.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1008.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1003.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
996.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
990.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
985.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
983.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
983.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
983.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
980.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
976.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
972.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
963.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
963.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
961.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
960.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
959.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
953.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
950.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
949.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
944.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
943.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
931.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
924.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
921.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
917.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
914.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
911.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
906.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
903.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
901.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
893.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
891.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
891.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
890.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
889.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
883.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
878.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
877.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
875.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
874.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
867.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
862.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
858.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
854.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
848.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
844.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
842.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
841.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
835.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
835.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
831.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
823.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
811.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
804.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
799.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
797.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
786.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
781.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
779.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
767.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
766.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
747.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
744.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
722.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
712.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
710.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
696.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
695.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
680.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
657.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
629.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
600.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
581.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
329.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
164.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.