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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.
MED4 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
50.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
175.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
121.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
117.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
115.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
108.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
105.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
94.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
91.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
90.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
90.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
83.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
80.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
77.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
74.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
73.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
72.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
70.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
70.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
67.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
67.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
67.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
67.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
66.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
66.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
65.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
65.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
65.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
64.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
59.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
59.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
58.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
57.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
56.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
56.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
55.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
54.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
54.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
53.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
53.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
51.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
50.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
49.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
47.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
42.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
42.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
39.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
36.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
35.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
32.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
30.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
27.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
MED4 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
37.7
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
107.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
87.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
81.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
69.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
64.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
56.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
55.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
48.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
43.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
40.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
37.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
36.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
35.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
34.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
33.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
33.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
32.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
30.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
30.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
30.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
30.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
29.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
28.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
28.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
28.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
28.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
27.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
27.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
27.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
27.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
26.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
25.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
24.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
24.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
24.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
24.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
24.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
23.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
23.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
22.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
22.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
22.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
21.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
21.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
18.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
17.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
17.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
MED4 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
55.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
107.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
101.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
86.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
83.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
79.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
76.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
71.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
71.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
71.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
70.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
70.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
67.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
67.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
67.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
66.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
63.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
62.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
61.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
58.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
58.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
57.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
56.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
50.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
48.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
46.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
44.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
39.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
30.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
20.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MED4 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
38.5
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
100.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
66.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
54.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
49.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
38.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
33.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
33.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
33.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
32.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
31.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
27.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
24.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
23.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
21.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
20.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
