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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.
NEO1 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
22.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
46.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
45.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
43.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
39.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
33.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
33.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
31.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
30.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
28.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
28.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
26.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
20.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
12.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
12.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
10.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
9.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
NEO1 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
49.3
Number of samples
486
Samples
Sample
Description
TPM
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
143.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
130.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
129.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
125.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
124.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
123.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
123.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
119.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
118.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
115.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
108.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
107.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
107.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
105.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
104.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
103.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
102.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
101.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
95.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
92.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
92.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
85.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
83.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
83.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
82.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
81.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
80.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
79.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
75.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
75.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
74.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
73.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
72.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
71.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
71.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
71.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
68.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
68.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
67.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
65.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
65.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
64.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
64.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
63.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
63.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
63.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
62.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
61.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
61.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
58.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
58.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
57.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
56.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
53.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
50.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
47.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
41.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
36.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
33.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
32.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
31.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
31.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
29.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
28.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
26.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
25.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
24.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
24.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
23.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
23.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
21.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
20.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
20.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
19.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
18.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
17.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
17.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
17.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
16.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
15.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
14.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
14.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
13.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
13.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
13.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
11.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
11.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
11.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
9.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
8.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
8.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
7.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
4.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NEO1 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
25.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
70.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
67.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
37.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NEO1 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
52.4
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
132.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
114.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
113.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
112.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
108.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
97.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
91.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
90.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
89.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
89.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
85.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
77.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
73.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
73.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
73.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
71.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
69.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
66.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
64.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
64.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
62.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
62.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
61.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
61.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
61.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
61.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
60.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
59.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
56.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
54.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
50.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
48.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
30.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
26.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
21.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
20.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
19.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
19.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
17.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
8.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
1.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-2.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-2.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.