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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMPRSS4 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
54.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
180.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
173.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
147.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
131.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
128.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
127.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
124.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
122.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
119.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
113.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
109.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
107.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
106.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
105.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
103.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
101.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
101.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
97.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
96.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
93.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
92.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
91.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
91.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
91.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
89.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
89.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
89.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
87.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
87.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
86.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
83.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
81.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
81.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
80.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
79.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
79.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
78.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
77.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
77.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
77.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
77.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
74.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
74.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
72.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
72.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
71.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
71.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
70.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
69.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
66.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
64.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
64.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
64.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
63.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
61.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
60.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
59.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
57.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
57.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
55.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
53.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
52.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
50.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
49.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
47.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
47.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
44.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
40.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
39.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
35.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
34.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
32.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
28.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
27.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
25.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
TMPRSS4 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
49.9
Number of samples
486
Samples
Sample
Description
TPM
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
145.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
145.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
142.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
138.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
134.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
132.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
129.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
129.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
127.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
126.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
126.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
125.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
125.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
120.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
119.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
115.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
112.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
107.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
105.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
104.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
103.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
100.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
99.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
98.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
95.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
95.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
94.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
93.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
92.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
92.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
91.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
88.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
87.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
87.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
86.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
84.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
82.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
82.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
82.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
81.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
80.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
80.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
79.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
78.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
78.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
77.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
77.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
76.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
75.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
75.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
73.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
70.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
69.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
68.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
66.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
65.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
65.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
65.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
64.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
64.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
64.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
63.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
62.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
60.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
59.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
59.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
58.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
55.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
55.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
49.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
48.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
34.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
33.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
33.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
32.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
31.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
29.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
29.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
28.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
28.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
26.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
25.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
25.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
25.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
25.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
25.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
25.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
25.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
25.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
24.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
24.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
24.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
24.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
24.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
23.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
23.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
23.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
23.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
23.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
23.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
22.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
22.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
22.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
22.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
22.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
22.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
21.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
21.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
21.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
20.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
20.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
19.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
18.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
18.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
18.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
18.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
18.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
18.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
17.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
17.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
17.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
16.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
16.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
15.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
14.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
14.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
14.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
12.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
11.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
10.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
10.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
10.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
9.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
8.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
8.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
8.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
7.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
3.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
TMPRSS4 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
59.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
195.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
190.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
136.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
128.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
114.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
108.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
107.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
106.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
103.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
103.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
100.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
89.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
86.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
85.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
84.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
82.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
79.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
78.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
75.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
73.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
72.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
72.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
70.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
69.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
69.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
68.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
66.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
65.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
64.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
57.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
52.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
51.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
47.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
46.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
46.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
37.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 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.
TMPRSS4 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
45.5
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
124.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
113.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
112.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
112.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
107.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
98.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
98.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
96.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
95.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
92.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
89.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
85.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
84.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
78.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
76.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
72.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
70.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
69.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
68.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
66.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
65.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
30.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
28.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
26.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
26.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
25.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
25.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
24.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
24.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
24.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
23.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
23.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
23.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
22.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
21.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
19.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
17.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
17.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
17.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
15.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
13.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
12.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
12.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
11.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
9.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
7.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
7.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
