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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.
RALB 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
47.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
111.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
99.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
86.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
83.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
82.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
81.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
81.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
78.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
76.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
75.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
73.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
73.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
73.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
71.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
68.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
67.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
67.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
66.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
65.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
63.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
62.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
62.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
61.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
61.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
60.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
58.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
58.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
56.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
53.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
52.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
51.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
51.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
50.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
50.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
50.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
49.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
49.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
49.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
48.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
48.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
47.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
46.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
45.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
44.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
44.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
42.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
42.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
42.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
41.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
41.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
39.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
39.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
38.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
37.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
33.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
30.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
20.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 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.
RALB 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
47.1
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
103.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
102.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
101.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
96.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
91.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
90.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
87.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
85.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
84.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
82.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
82.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
81.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
80.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
78.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
77.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
76.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
76.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
76.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
75.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
71.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
66.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
65.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
59.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
59.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
57.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
56.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
53.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
52.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
52.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
48.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
41.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
37.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
37.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
32.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
30.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
RALB 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
50.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
83.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
77.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
66.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
66.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
64.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
58.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
50.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
49.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
42.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
41.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
16.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RALB is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.2
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
85.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
75.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
64.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
63.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
61.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
56.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
45.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
36.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
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Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
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Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
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Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
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Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.