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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.
ACSL3 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
24.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
126.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
85.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
71.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
70.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
57.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
43.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
42.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
41.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
40.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
38.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
36.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
35.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
33.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
32.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
30.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
27.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
26.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
26.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
25.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
23.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
23.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
18.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
17.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
12.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
12.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
ACSL3 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
58.9
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
175.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
158.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
149.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
136.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
129.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
128.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
124.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
123.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
122.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
117.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
115.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
112.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
111.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
111.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
110.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
104.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
101.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
101.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
101.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
98.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
98.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
96.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
96.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
95.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
93.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
92.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
91.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
89.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
89.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
89.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
89.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
89.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
88.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
87.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
87.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
86.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
86.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
84.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
84.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
84.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
83.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
83.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
82.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
81.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
81.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
80.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
79.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
79.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
78.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
77.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
77.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
75.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
75.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
75.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
74.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
74.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
73.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
73.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
73.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
73.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
72.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
72.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
72.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
71.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
71.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
69.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
67.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
66.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
66.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
66.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
64.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
63.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
63.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
62.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
62.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
62.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
62.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
61.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
60.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
59.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
58.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
55.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
54.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
54.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
52.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
51.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
27.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
24.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
23.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
19.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACSL3 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
24.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
92.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
90.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
50.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
29.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
26.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
15.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
13.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.4
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.
ACSL3 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
49.5
Number of samples
207
Samples
Sample
Description
TPM
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
127.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
105.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
98.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
96.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
96.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
94.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
84.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
83.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
80.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
71.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
70.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
68.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
67.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
67.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
64.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
60.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
58.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
56.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
56.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
55.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
52.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
51.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
30.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
19.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
10.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
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Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
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Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
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Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
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.