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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GCN1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
24.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
45.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
42.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
41.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
38.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
27.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
27.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
26.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
25.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
24.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
23.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
21.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
20.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
19.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
16.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
15.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GCN1 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
42.8
Number of samples
486
Samples
Sample
Description
TPM
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
101.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
81.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
75.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
74.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
72.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
72.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
71.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
70.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
69.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
66.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
64.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
64.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
63.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
61.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
60.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
60.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
56.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
56.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
46.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
45.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
45.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
44.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
43.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
43.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
40.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
37.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
37.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
35.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
32.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
27.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
24.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
23.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
20.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
GCN1 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
22.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
30.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
24.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
24.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
24.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
18.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
GCN1 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
39.0
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
70.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
51.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
41.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
41.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
29.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
29.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
25.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
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Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
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Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
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Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
