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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.
TSC22D3 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
34.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
345.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
171.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
161.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
140.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
135.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
106.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
96.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
95.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
95.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
88.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
87.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
86.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
79.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
79.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
77.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
76.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
75.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
71.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
69.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
68.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
67.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
62.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
62.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
57.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
56.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
48.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
46.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
37.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
37.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
30.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
28.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
28.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
24.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
23.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
21.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
17.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
16.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
14.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
TSC22D3 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
93.4
Number of samples
486
Samples
Sample
Description
TPM
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
435.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
332.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
325.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
304.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
289.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
289.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
285.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
280.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
276.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
260.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
252.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
249.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
244.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
244.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
243.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
242.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
241.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
234.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
228.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
227.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
226.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
221.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
214.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
212.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
212.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
209.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
209.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
207.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
205.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
204.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
204.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
203.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
202.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
200.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
197.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
197.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
195.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
194.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
193.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
193.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
193.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
193.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
192.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
190.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
188.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
186.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
185.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
185.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
184.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
184.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
183.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
182.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
181.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
180.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
179.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
179.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
178.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
178.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
175.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
174.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
174.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
172.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
171.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
170.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
168.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
168.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
168.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
166.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
162.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
162.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
161.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
161.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
160.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
159.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
158.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
158.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
158.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
156.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
156.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
155.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
155.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
155.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
155.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
154.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
151.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
150.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
149.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
148.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
148.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
148.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
148.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
147.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
147.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
147.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
146.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
146.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
145.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
142.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
141.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
140.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
139.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
139.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
139.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
139.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
138.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
138.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
138.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
138.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
137.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
136.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
136.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
135.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
133.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
133.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
132.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
132.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
130.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
129.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
129.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
129.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
128.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
127.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
126.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
125.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
124.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
124.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
123.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
123.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
122.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
121.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
120.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
120.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
120.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
120.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
119.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
119.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
118.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
118.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
118.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
117.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
117.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
117.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
116.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
116.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
115.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
114.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
114.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
113.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
113.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
112.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
111.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
111.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
110.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
109.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
107.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
106.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
105.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
105.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
105.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
104.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
103.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
102.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
102.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
102.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
102.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
102.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
101.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
101.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
100.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
100.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
100.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
98.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
98.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
98.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
98.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
97.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
96.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
96.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
96.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
93.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
93.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
93.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
93.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
93.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
92.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
92.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
92.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
92.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
91.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
91.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
90.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
89.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
89.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
87.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
86.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
86.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
85.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
85.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
84.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
84.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
83.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
82.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
82.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
82.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
80.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
79.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
79.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
79.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
78.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
78.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
77.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
75.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
75.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
75.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
75.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
73.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
69.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
69.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
69.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
68.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
68.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
65.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
64.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
64.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
54.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
50.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
43.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
35.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
33.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
32.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
28.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
28.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
26.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
25.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
24.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
24.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
23.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
23.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
23.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
22.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
22.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
22.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
20.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
20.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
20.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
20.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
19.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
18.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
18.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
17.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
16.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
14.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
14.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
14.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
12.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
11.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
7.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSC22D3 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
31.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
134.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
117.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
74.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
71.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
63.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
56.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
47.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
43.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
36.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
34.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
26.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
21.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
16.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
16.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
16.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
15.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
7.6
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.
TSC22D3 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
97.1
Number of samples
207
Samples
Sample
Description
TPM
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
539.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
471.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
405.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
395.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
377.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
353.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
345.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
330.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
289.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
279.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
264.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
263.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
252.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
248.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
241.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
232.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
231.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
218.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
212.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
205.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
197.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
196.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
194.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
194.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
192.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
192.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
190.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
190.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
189.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
181.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
179.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
178.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
175.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
174.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
170.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
166.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
161.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
158.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
155.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
154.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
153.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
151.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
148.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
146.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
145.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
143.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
142.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
136.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
134.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
133.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
132.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
132.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
131.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
130.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
129.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
124.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
123.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
121.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
121.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
121.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
121.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
119.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
119.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
116.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
115.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
109.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
108.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
107.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
105.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
104.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
104.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
101.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
98.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
98.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
96.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
95.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
94.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
90.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
87.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
85.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
84.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
83.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
78.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
75.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
72.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
72.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
68.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
59.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
55.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
24.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
21.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
21.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
20.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
19.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
18.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
17.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
16.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
16.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
14.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
13.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
12.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
11.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
8.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
