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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.
HTRA3 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
27.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
205.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
192.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
187.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
179.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
134.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
132.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
131.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
105.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
100.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
94.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
67.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
67.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
65.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
63.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
59.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
58.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
56.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
47.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
46.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
46.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
45.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
40.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
39.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
38.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
38.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
37.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
35.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
35.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
32.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
32.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
27.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
25.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
22.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
21.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
13.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
8.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
8.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
8.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
6.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
5.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
4.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.3
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.
HTRA3 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
25.8
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
135.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
112.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
112.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
107.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
104.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
91.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
75.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
74.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
50.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
47.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
37.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
35.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
34.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
28.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
28.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
28.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
27.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
27.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
26.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
25.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
25.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
25.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
25.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
24.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
24.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
24.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
24.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
24.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
24.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
23.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
23.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
23.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
23.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
23.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
23.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
22.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
22.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
22.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
22.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
22.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
22.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
22.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
22.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
22.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
22.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
22.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
22.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
21.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
21.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
21.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
21.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
21.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
20.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
20.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
20.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
20.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
20.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
20.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
20.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
19.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
19.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
19.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
19.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
19.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
19.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
19.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
19.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
19.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
19.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
19.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
19.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
18.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
18.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
18.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
18.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
18.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
18.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
18.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
18.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
18.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
18.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
17.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
17.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
17.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
17.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
17.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
17.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
17.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
17.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
16.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
16.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
16.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
16.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
16.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
16.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
16.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
16.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
16.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
16.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
16.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
15.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
15.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
15.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
15.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
15.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
15.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
15.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
15.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
15.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
15.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
15.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
15.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
15.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
15.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
14.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
14.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
14.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
14.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
14.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
14.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
14.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
14.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
13.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
13.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
13.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
13.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
13.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
13.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
13.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
13.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
13.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
13.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
13.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
13.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
13.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
12.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
12.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
12.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
12.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
12.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
12.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
12.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
12.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
11.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
11.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
11.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
11.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
11.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
11.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
11.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
10.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
10.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
10.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
10.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
10.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
10.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
10.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
10.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
10.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
10.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
9.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
9.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
9.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
9.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
9.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
9.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
9.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
9.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
9.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
9.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
9.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
9.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
8.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
8.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
8.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
8.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
8.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
8.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
8.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
8.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
7.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
7.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
7.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
7.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
7.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
7.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
6.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
6.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
6.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
6.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
6.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
6.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
6.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
5.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
5.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
5.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
5.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
5.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
5.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
5.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
5.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
5.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
5.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
4.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
4.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
4.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
4.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
4.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
4.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
3.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
3.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
3.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
2.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
2.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
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.
HTRA3 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
24.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
151.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
146.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
57.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
56.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
53.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
26.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
24.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
22.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
22.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
9.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
8.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
7.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
5.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
5.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.6
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.
HTRA3 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
21.4
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
97.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
87.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
37.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
31.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
30.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
29.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
27.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
27.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
25.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
24.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
23.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
23.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
22.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
22.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
20.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
20.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
20.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
20.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
19.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
19.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
19.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
18.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
18.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
17.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
17.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
17.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
16.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
16.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
16.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
15.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
15.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
15.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
15.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
15.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
15.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
15.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
14.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
13.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
13.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
13.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
13.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
12.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
12.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
12.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
12.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
12.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
12.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
12.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
11.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
11.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
11.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
11.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
11.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
11.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
11.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
11.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
11.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
11.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
11.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
11.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
10.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
10.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
10.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
10.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
10.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
10.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
9.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
9.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
9.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
9.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
8.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
8.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
8.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
8.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
8.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
8.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
7.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
7.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
7.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
6.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
6.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
6.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
6.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
6.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
6.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
5.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
5.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
5.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
5.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
5.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
5.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
5.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
4.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
4.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
4.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
4.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
4.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
3.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
3.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
3.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
3.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
2.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
2.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.4
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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
1.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.