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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.
SDC2 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
23.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
146.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
128.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
87.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
84.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
79.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
70.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
70.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
65.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
61.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
59.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
55.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
51.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
44.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
36.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
23.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
23.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
23.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
23.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
23.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
23.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
20.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
15.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
4.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
3.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.6
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.
SDC2 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
28.7
Number of samples
486
Samples
Sample
Description
TPM
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
98.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
89.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
86.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
79.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
72.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
53.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
52.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
52.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
39.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
37.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
34.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
33.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
32.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
31.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
31.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
30.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
30.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
29.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
28.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
28.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
28.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
27.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
27.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
27.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
27.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
27.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
26.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
26.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
26.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
26.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
26.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
26.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
26.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
25.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
25.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
25.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
24.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
24.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
24.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
24.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
24.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
24.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
24.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
24.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
24.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
24.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
23.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
23.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
23.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
23.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
23.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
23.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
22.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
22.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
22.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
22.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
22.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
22.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
21.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
21.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
21.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
21.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
21.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
21.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
21.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
21.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
20.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
20.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
20.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
20.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
20.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
20.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
20.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
19.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
19.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
19.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
19.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
19.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
19.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
18.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
18.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
18.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
18.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
18.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
18.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
18.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
17.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
17.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
17.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
17.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
17.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
17.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
17.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
16.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
16.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
16.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
16.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
16.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
16.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
16.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
16.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
16.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
15.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
15.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
15.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
15.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
15.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
15.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
15.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
15.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
14.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
14.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
14.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
14.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
14.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
13.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
13.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
13.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
13.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
13.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
13.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
13.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
13.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
12.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
12.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
12.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
12.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
12.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
12.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
12.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
12.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
12.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
11.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
11.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
11.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
11.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
11.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
11.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
11.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
11.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
11.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
11.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
11.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
10.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
10.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
10.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
10.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
10.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
9.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
9.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
9.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
9.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
9.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
9.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
9.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
9.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
9.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
8.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
7.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
7.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
7.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
7.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
6.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
6.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
6.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
SDC2 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
25.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
101.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
98.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
79.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
69.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
56.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
41.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
25.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
17.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SDC2 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
28.5
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
104.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
98.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
72.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
71.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
68.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
53.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
40.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
29.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
26.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
25.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
24.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
24.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
24.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
23.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
23.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
22.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
21.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
21.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
21.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
20.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
20.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
20.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
20.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
19.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
19.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
19.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
19.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
18.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
18.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
18.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
18.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
17.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
17.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
16.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
16.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
16.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
16.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
16.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
16.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
16.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
15.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
15.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
15.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
15.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
14.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
14.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
14.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
14.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
14.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
14.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
13.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
13.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
13.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
13.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
13.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
12.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
12.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
11.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
11.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
11.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
10.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
9.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
9.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
9.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
9.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
9.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
9.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
7.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
7.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
6.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
6.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
6.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
5.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
