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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.
SSBP3 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
39.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
74.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
72.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
69.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
68.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
66.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
65.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
62.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
60.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
60.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
58.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
58.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
56.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
55.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
53.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
53.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
53.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
51.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
48.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
47.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
45.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
43.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
42.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
41.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
41.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
40.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
37.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
37.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
28.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
26.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
20.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
10.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SSBP3 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
40.4
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
89.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
79.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
76.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
71.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
69.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
64.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
56.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
56.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
54.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
53.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
38.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
38.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
35.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
32.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
31.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
29.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
28.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
28.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
28.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
28.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
27.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
26.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
26.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
25.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
25.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
24.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
24.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
24.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
24.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
24.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
23.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
23.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
23.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
23.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
23.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
21.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
21.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
21.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
19.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
SSBP3 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
41.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
102.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
78.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
75.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
73.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
56.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
52.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
49.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
47.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
47.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
43.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
42.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
42.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
35.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
SSBP3 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
40.3
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
60.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
57.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
50.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
37.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
30.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
21.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
20.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
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Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
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Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-2.4
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.
The Human Protein Atlas project is funded
