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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.
HTRA1 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
57.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
449.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
407.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
326.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
294.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
269.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
260.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
239.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
201.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
200.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
186.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
182.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
164.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
155.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
152.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
149.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
141.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
139.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
137.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
130.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
128.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
127.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
125.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
125.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
124.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
124.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
123.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
123.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
122.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
119.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
119.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
116.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
113.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
112.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
108.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
105.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
100.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
98.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
96.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
96.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
96.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
93.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
92.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
92.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
91.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
86.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
84.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
83.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
83.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
77.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
77.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
77.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
77.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
75.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
73.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
67.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
67.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
67.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
64.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
63.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
61.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
60.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
58.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
55.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
53.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
50.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
49.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
43.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
43.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
41.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
35.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
30.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
29.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
28.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
17.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
HTRA1 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
48.5
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
276.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
245.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
240.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
201.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
196.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
177.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
166.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
158.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
151.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
142.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
139.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
134.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
133.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
127.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
125.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
124.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
123.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
120.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
117.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
115.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
112.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
112.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
109.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
109.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
107.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
104.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
102.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
102.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
100.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
99.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
99.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
97.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
95.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
91.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
89.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
88.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
88.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
87.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
87.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
85.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
84.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
84.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
83.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
81.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
81.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
81.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
80.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
79.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
79.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
76.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
75.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
73.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
72.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
72.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
72.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
70.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
69.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
69.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
68.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
67.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
67.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
67.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
65.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
65.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
65.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
63.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
61.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
61.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
59.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
51.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
35.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
32.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
31.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
29.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
29.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
28.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
28.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
27.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
27.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
26.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
26.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
26.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
25.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
25.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
24.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
24.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
24.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
24.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
24.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
23.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
23.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
22.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
22.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
22.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
21.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
21.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
21.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
21.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
21.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
21.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
20.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
20.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
20.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
19.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
19.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
19.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
19.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
19.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
19.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
18.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
18.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
18.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
18.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
18.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
18.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
18.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
18.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
17.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
17.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
17.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
17.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
16.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
16.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
16.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
16.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
15.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
15.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
15.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
15.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
14.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
14.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
14.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
13.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
13.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
13.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
12.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
12.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
12.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
12.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
12.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
12.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
12.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
11.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
11.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
11.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
11.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
11.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
10.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
9.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
9.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
9.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
8.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
8.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
7.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
7.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
5.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
HTRA1 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
62.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
563.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
275.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
230.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
225.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
224.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
167.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
139.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
132.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
123.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
112.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
110.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
102.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
98.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
97.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
97.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
82.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
74.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
74.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
71.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
70.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
20.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
19.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
HTRA1 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
45.7
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
246.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
203.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
180.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
168.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
168.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
160.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
155.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
147.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
143.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
141.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
141.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
125.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
124.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
123.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
123.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
118.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
104.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
98.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
95.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
93.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
93.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
92.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
86.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
83.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
82.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
81.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
80.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
79.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
79.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
75.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
73.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
73.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
72.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
72.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
70.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
65.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
33.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
27.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
25.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
24.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
23.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
23.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
23.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
22.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
21.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
19.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
19.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
18.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
18.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
17.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
17.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
17.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
15.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
14.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
14.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
14.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
13.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
13.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
13.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
13.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
12.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
12.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
11.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
10.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
10.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
9.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
8.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
7.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
2.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
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
