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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.
CERS6 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
32.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
109.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
68.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
64.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
57.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
56.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
55.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
54.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
52.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
45.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
44.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
43.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
43.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
36.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
32.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
31.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
30.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
27.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
26.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
26.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
26.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
26.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
22.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
CERS6 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
65.9
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
169.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
143.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
141.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
131.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
131.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
124.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
123.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
122.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
121.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
118.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
118.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
114.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
113.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
112.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
112.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
111.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
111.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
110.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
110.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
110.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
108.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
106.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
106.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
105.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
105.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
105.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
103.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
102.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
102.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
101.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
101.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
100.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
100.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
100.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
99.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
99.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
98.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
97.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
96.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
96.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
96.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
96.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
95.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
95.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
94.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
94.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
94.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
93.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
93.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
93.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
92.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
92.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
92.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
91.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
91.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
91.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
90.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
90.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
90.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
89.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
89.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
88.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
87.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
87.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
87.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
87.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
87.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
87.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
87.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
86.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
86.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
85.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
85.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
84.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
84.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
84.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
84.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
84.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
84.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
84.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
83.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
83.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
83.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
83.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
82.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
82.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
82.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
82.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
81.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
81.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
80.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
80.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
80.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
80.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
80.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
80.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
79.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
78.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
78.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
78.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
76.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
76.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
76.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
76.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
75.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
74.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
74.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
74.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
74.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
73.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
73.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
73.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
73.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
73.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
72.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
72.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
72.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
71.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
71.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
71.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
70.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
70.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
70.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
70.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
70.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
68.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
68.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
67.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
67.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
66.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
66.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
66.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
65.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
65.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
64.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
64.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
63.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
58.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
57.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
54.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
50.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
49.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
48.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
45.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
29.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
24.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
24.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
23.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
21.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
15.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
CERS6 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
34.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
110.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
81.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
65.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
38.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
35.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
32.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
29.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.2
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.
CERS6 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
58.1
Number of samples
207
Samples
Sample
Description
TPM
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
117.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
113.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
101.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
98.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
95.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
92.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
90.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
89.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
89.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
85.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
85.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
85.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
83.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
82.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
80.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
79.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
77.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
76.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
75.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
74.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
73.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
73.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
72.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
72.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
71.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
69.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
68.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
68.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
68.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
67.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
63.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
62.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
62.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
61.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
59.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
55.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
51.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-2.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-2.0
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
