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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.
CORO1A 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
36.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
226.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
177.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
131.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
124.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
117.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
109.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
91.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
85.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
81.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
81.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
79.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
79.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
78.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
76.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
76.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
76.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
75.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
70.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
69.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
68.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
68.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
67.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
67.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
67.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
50.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
50.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
47.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
46.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
46.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
40.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
37.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
36.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
35.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
34.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
30.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
28.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
28.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
25.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
23.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
21.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
18.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
10.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
9.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 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.
CORO1A 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
35.2
Number of samples
486
Samples
Sample
Description
TPM
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
134.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
134.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
123.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
91.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
90.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
79.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
79.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
76.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
67.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
66.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
60.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
59.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
39.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
36.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
34.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
34.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
34.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
33.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
33.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
33.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
32.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
32.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
32.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
29.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
29.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
29.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
28.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
28.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
28.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
28.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
28.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
27.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
27.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
27.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
27.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
26.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
26.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
26.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
25.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
25.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
24.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
24.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
24.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
24.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
23.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
23.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
23.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
23.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
23.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
22.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
22.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
22.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
22.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
22.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
22.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
22.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
21.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
21.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
21.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
21.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
21.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
21.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
21.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
20.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
20.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
20.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
20.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
20.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
20.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
20.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
20.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
19.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
19.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
19.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
18.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
18.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
18.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
18.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
18.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
18.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
18.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
18.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
17.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
17.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
17.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
17.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
16.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
16.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
16.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
16.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
16.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
16.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
15.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
15.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
15.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
15.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
15.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
15.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
14.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
14.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
14.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
14.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
14.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
14.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
14.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
14.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
14.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
13.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
13.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
13.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
13.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
13.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
12.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
12.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
11.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
11.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
11.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
10.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
9.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
CORO1A 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
33.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
129.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
82.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
62.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
48.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
48.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
38.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
26.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
25.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
24.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
21.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
CORO1A 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
31.1
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
89.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
84.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
75.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
72.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
68.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
60.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
57.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
56.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
40.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
38.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
33.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
32.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
31.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
30.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
30.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
28.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
26.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
25.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
25.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
25.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
24.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
23.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
22.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
22.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
22.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
21.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
21.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
19.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
19.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
19.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
18.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
18.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
18.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
17.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
17.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
17.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
17.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
16.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
16.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
16.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
15.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
14.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
14.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
13.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
12.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
12.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
9.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
9.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
8.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
7.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
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Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
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Tumor
0.3
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Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
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Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
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Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
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Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
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Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
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.