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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.
LARP4 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
14.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
88.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
72.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
22.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
20.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
18.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
17.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
15.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
14.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
12.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
12.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
11.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
10.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
LARP4 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
53.6
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
104.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
100.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
98.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
95.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
89.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
86.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
85.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
80.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
79.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
79.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
78.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
77.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
77.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
76.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
72.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
68.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
66.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
66.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
65.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
64.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
64.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
64.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
63.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
63.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
63.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
62.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
62.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
61.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
60.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
60.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
60.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
60.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
60.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
59.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
58.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
58.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
58.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
57.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
57.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
57.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
56.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
55.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
54.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
50.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
50.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
48.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
46.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
34.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
33.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
LARP4 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
13.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
23.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
22.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
19.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
16.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
15.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
15.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
14.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
12.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.4
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.
LARP4 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
50.7
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
87.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
87.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
81.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
80.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
77.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
75.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
71.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
65.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
59.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
58.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
56.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
31.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
31.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.0
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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
1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
