We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
AGPAT3 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
29.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
61.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
56.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
44.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
44.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
42.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
41.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
40.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
40.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
37.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
36.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
35.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
34.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
34.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
29.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
28.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
27.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
25.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
24.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
24.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
21.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
21.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
17.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
AGPAT3 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
41.0
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
98.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
84.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
79.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
78.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
78.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
77.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
66.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
64.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
58.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
56.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
50.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
48.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
42.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
38.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
36.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
36.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
35.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
34.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
32.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
31.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
31.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
31.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
30.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
29.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
27.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
25.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
23.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
22.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
22.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
20.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
16.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
AGPAT3 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
28.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
52.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
47.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
42.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
39.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
38.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
36.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
29.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
23.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AGPAT3 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
37.4
Number of samples
207
Samples
Sample
Description
TPM
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
60.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
58.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
44.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
31.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
29.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
27.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
24.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
22.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
18.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
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.
The Human Protein Atlas project is funded
