We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
CTSH 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
25.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
114.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
86.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
85.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
42.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
42.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
42.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
39.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
39.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
37.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
36.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
35.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
29.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
26.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
25.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
25.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
24.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
24.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
23.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
22.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
19.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
16.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
14.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
14.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
11.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
8.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
8.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
4.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
CTSH 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
12.1
Number of samples
486
Samples
Sample
Description
TPM
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
30.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
30.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
28.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
27.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
26.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
25.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
25.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
25.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
24.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
23.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
23.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
23.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
23.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
23.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
23.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
23.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
22.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
22.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
22.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
21.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
21.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
20.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
20.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
20.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
20.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
20.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
20.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
19.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
19.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
19.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
19.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
19.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
19.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
19.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
19.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
18.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
18.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
18.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
18.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
18.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
18.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
18.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
18.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
18.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
17.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
17.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
17.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
17.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
17.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
17.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
17.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
17.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
17.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
17.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
16.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
16.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
16.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
16.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
16.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
16.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
15.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
15.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
15.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
15.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
15.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
15.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
15.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
15.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
15.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
15.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
15.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
15.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
15.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
15.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
15.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
15.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
15.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
15.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
15.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
15.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
15.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
15.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
15.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
15.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
14.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
14.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
14.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
14.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
14.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
14.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
14.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
14.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
14.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
14.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
14.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
14.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
14.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
13.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
13.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
13.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
13.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
13.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
13.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
13.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
13.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
13.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
13.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
12.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
12.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
12.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
12.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
12.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
12.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
12.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
12.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
12.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
12.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
12.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
12.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
12.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
12.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
11.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
11.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
11.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
11.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
11.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
11.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
11.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
11.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
11.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
11.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
11.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
11.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
11.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
11.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
11.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
11.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
11.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
11.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
11.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
11.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
11.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
11.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
11.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
11.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
10.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
10.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
10.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
10.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
10.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
10.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
10.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
10.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
10.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
10.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
10.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
10.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
10.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
10.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
10.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
10.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
10.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
10.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
10.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
10.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
10.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
10.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
10.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
10.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
10.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
10.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
10.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
10.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
9.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
9.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
9.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
9.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
9.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
9.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
9.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
9.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
9.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
9.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
9.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
9.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
9.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
9.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
9.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
9.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
9.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
9.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
9.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
9.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
9.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
9.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
9.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
9.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
9.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
9.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
9.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
9.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
8.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
8.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
8.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
8.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
8.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
8.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
8.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
8.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
8.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
8.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
8.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
8.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
8.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
8.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
8.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
8.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
8.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
8.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
8.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
8.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
8.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
8.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
8.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
8.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
8.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
8.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
8.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
8.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
7.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
7.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
7.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
7.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
7.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
7.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
7.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
7.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
7.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
7.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
7.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
7.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
7.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
7.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
7.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
7.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
7.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
7.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
7.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
7.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
7.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
7.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
7.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
7.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
7.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
7.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
7.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
7.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
7.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
7.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
7.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
6.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
6.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
6.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
6.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
6.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
6.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
6.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
6.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
6.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
6.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
6.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
6.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
6.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
6.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
6.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
6.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
6.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
5.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
5.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
5.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
5.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
5.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
5.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
5.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
5.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
5.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
5.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
5.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
5.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
5.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
5.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
5.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
5.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
5.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
5.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
5.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
5.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
5.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
5.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
5.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
4.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
4.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
4.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
4.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
4.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
4.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
4.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
4.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
4.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
4.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
4.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
4.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
4.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
4.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
4.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
4.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
4.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
4.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
4.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
4.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
4.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
3.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
3.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
3.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
3.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
3.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
3.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
3.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
3.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
3.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
3.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
3.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
3.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
3.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
3.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
3.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
3.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
3.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
3.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
3.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
3.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
3.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
3.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
3.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
2.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
2.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
2.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
2.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
0.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
0.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
0.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CTSH 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
28.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
139.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
80.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
59.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
51.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
50.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
49.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
43.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
37.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
14.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
9.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
7.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4.4
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.
CTSH 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
9.5
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
22.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
21.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
19.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
19.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
18.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
18.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
17.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
17.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
17.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
16.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
16.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
16.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
16.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
15.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
15.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
15.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
15.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
14.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
14.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
14.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
14.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
14.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
13.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
13.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
13.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
13.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
13.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
13.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
13.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
13.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
13.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
12.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
12.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
12.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
12.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
11.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
11.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
11.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
11.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
11.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
11.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
11.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
11.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
10.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
10.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
10.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
10.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
9.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
9.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
9.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
9.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
9.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
9.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
9.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
9.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
9.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
9.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
9.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
9.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
9.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
9.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
8.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
8.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
8.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
8.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
8.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
8.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
8.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
7.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
7.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
7.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
7.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
7.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
7.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
6.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
6.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
6.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
6.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
6.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
6.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
6.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
6.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
6.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
5.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
5.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
5.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
5.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
5.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
5.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
5.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
5.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
5.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
5.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
5.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
5.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
5.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
5.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
5.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
4.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
4.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
4.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
4.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
4.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
4.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
4.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
4.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
4.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
4.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
4.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
4.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
4.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
4.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
3.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
3.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
3.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
3.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
3.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
3.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
3.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
3.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
3.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
3.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
2.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
2.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
2.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
2.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
2.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
2.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
2.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
2.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
2.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
2.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
2.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
1.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
0.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
0.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
0.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
0.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
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
