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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.
SPINK1 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
590.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4331.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3053.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2957.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2460.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2438.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2201.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2201.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1960.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1932.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1923.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1911.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1891.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1862.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1831.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1787.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1762.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1757.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1746.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1708.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1678.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1574.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1534.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1490.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1487.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1475.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1348.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1288.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1266.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1260.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1245.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1233.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1218.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1186.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1163.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1162.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1150.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1140.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1135.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1114.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1113.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1112.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1093.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1091.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1078.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1076.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1062.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1061.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1045.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1030.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1018.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1016.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
995.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
988.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
981.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
977.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
959.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
929.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
925.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
919.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
919.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
917.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
915.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
913.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
893.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
893.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
892.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
886.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
885.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
846.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
846.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
830.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
813.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
812.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
766.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
765.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
764.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
762.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
741.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
733.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
732.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
716.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
693.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
685.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
673.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
670.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
663.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
661.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
661.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
598.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
598.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
595.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
590.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
578.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
568.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
552.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
549.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
545.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
543.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
538.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
537.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
536.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
517.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
514.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
505.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
502.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
497.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
492.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
476.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
471.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
454.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
444.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
439.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
437.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
433.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
407.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
406.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
403.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
402.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
401.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
392.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
391.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
385.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
383.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
381.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
375.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
368.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
363.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
359.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
355.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
355.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
352.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
349.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
345.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
345.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
345.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
343.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
341.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
337.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
336.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
334.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
328.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
324.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
316.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
315.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
305.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
302.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
300.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
300.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
300.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
294.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
289.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
284.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
284.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
282.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
280.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
274.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
271.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
269.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
264.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
257.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
257.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
252.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
252.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
237.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
237.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
229.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
219.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
216.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
208.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
208.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
207.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
193.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
193.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
182.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
177.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
174.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
170.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
169.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
165.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
161.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
156.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
156.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
155.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
148.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
145.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
143.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
143.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
141.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
141.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
131.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
131.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
130.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
129.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
124.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
122.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
115.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
114.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
110.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
104.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
103.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
103.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
103.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
102.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
101.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
100.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
100.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
99.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
99.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
87.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
86.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
84.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
82.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
78.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
71.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
70.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
66.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
41.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
31.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
5.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 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.
SPINK1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
220.8
Number of samples
486
Samples
Sample
Description
TPM
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1600.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1135.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1080.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1011.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1011.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
920.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
916.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
904.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
904.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
864.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
846.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
808.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
806.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
753.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
733.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
728.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
714.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
704.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
701.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
698.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
697.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
690.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
686.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
667.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
666.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
665.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
647.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
644.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
638.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
634.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
632.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
614.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
603.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
598.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
591.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
590.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
589.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
570.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
570.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
567.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
563.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
559.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
556.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
551.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
546.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
544.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
542.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
527.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
526.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
521.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
510.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
509.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
509.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
508.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
504.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
500.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
500.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
497.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
496.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
493.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
493.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
492.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
492.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
488.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
486.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
475.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
457.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
452.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
438.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
438.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
434.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
429.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
426.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
415.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
409.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
407.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
406.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
403.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
400.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
393.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
393.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
392.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
378.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
375.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
367.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
365.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
365.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
361.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
359.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
356.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
356.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
354.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
351.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
348.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
347.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
347.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
346.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
344.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
343.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
342.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
340.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
334.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
329.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
328.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
328.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
327.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
321.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
321.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
320.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
320.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
320.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
318.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
317.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
317.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
312.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
311.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
310.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
305.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
303.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
301.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
301.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
299.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
297.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
296.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
296.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
295.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
295.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
294.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
292.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
292.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
290.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
290.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
290.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
289.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
288.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
288.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
287.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
285.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
284.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
281.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
276.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
274.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
274.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
273.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
272.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
271.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
270.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
269.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
268.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
268.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
263.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
262.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
262.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
260.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
259.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
258.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
258.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
257.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
254.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
252.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
251.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
250.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
247.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
246.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
244.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
241.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
240.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
238.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
237.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
237.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
236.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
236.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
236.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
235.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
228.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
227.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
227.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
226.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
222.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
219.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
218.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
218.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
218.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
217.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
217.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
217.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
214.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
213.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
213.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
212.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
211.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
210.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
210.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
208.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
208.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
206.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
206.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
205.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
204.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
198.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
198.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
197.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
196.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
195.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
195.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
195.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
191.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
190.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
189.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
189.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
186.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
186.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
185.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
184.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
183.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
182.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
182.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
177.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
176.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
176.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
174.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
173.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
169.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
168.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
167.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
167.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
166.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
161.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
160.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
159.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
159.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
159.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
158.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
158.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
158.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
158.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
158.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
157.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
157.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
155.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
154.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
153.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
153.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
152.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
152.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
151.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
151.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
150.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
150.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
150.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
150.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
149.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
148.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
146.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
145.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
145.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
144.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
143.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
143.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
139.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
139.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
137.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
136.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
136.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
136.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
134.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
133.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
133.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
132.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
131.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
130.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
130.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
130.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
129.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
127.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
124.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
124.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
123.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
123.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
123.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
121.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
121.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
120.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
119.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
117.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
117.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
115.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
114.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
113.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
110.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
109.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
109.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
109.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
109.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
109.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
106.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
106.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
105.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
104.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
103.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
102.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
102.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
101.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
100.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
99.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
99.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
99.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
98.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
97.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
97.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
96.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
95.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
95.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
93.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
93.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
92.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
91.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
89.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
89.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
89.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
87.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
87.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
86.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
85.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
83.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
83.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
82.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
80.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
79.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
77.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
75.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
74.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
72.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
68.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
63.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
58.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
45.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
35.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
30.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
28.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
28.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
25.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
24.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
23.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
23.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
23.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
21.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
21.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
21.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
20.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
19.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
17.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
17.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
17.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
16.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
15.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
15.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
14.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
14.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
14.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
12.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
12.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
11.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
10.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
10.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
10.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
9.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
9.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
8.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
8.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
8.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
8.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
8.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
7.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
7.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
7.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
7.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
6.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
5.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
4.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 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.
SPINK1 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
650.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3627.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2841.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2078.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1815.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1801.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1735.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1580.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1501.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1485.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1434.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1328.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1271.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1221.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1198.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1196.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1188.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1089.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
950.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
944.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
901.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
895.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
882.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
835.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
749.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
744.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
738.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
729.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
728.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
698.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
685.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
669.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
658.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
652.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
622.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
611.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
587.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
566.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
553.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
549.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
540.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
540.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
529.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
520.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
519.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
512.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
509.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
508.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
507.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
504.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
447.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
418.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
375.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
372.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
344.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
341.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
325.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
321.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
305.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
302.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
278.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
275.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
259.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
259.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
257.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
233.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
232.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
212.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
204.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
196.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
184.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
168.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
166.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
153.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
149.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
146.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
140.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
96.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
83.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
66.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
57.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPINK1 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
278.5
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1314.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1139.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
907.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
901.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
880.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
843.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
823.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
771.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
765.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
741.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
715.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
693.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
690.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
661.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
641.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
631.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
627.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
624.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
609.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
582.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
573.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
565.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
558.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
558.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
533.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
525.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
517.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
507.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
505.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
478.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
476.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
472.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
469.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
466.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
461.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
460.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
459.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
459.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
444.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
442.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
439.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
427.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
417.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
415.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
412.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
396.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
381.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
381.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
380.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
377.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
369.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
369.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
369.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
365.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
365.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
365.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
365.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
363.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
361.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
359.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
356.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
348.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
343.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
340.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
338.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
335.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
331.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
330.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
328.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
328.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
322.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
312.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
307.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
303.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
302.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
301.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
299.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
297.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
296.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
292.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
291.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
285.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
274.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
264.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
264.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
262.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
259.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
256.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
255.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
254.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
253.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
252.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
252.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
249.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
244.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
244.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
241.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
234.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
233.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
233.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
233.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
219.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
217.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
214.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
209.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
206.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
206.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
203.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
203.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
203.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
202.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
201.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
200.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
198.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
197.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
195.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
194.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
194.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
193.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
188.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
177.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
175.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
175.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
174.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
174.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
172.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
171.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
171.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
168.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
163.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
162.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
161.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
159.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
158.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
158.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
154.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
152.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
152.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
151.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
150.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
146.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
145.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
142.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
136.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
136.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
132.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
132.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
132.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
128.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
125.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
125.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
122.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
115.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
115.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
114.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
112.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
112.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
111.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
108.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
107.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
107.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
106.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
105.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
104.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
104.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
102.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
99.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
96.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
89.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
88.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
84.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
83.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
83.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
80.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
78.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
76.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
64.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
62.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
22.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
17.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
2.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
1.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-2.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-2.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-2.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-2.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-2.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-2.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-2.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-3.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-3.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
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.
The Human Protein Atlas project is funded
