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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.
LARP4B is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
22.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
37.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
32.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
32.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
31.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
26.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
26.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
25.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
23.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
23.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
23.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
23.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
23.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
22.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
22.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
21.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
21.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
20.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
20.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
18.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
14.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
LARP4B 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
55.8
Number of samples
486
Samples
Sample
Description
TPM
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
98.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
90.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
90.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
90.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
88.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
87.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
86.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
85.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
83.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
81.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
79.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
78.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
77.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
76.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
76.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
76.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
75.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
73.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
71.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
69.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
69.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
68.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
65.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
65.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
65.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
64.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
63.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
62.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
62.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
62.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
60.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
59.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
58.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
57.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
56.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
56.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
53.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
53.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
53.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
52.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
52.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
51.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
50.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
50.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LARP4B 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
21.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
25.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
18.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
17.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
16.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LARP4B 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
54.0
Number of samples
207
Samples
Sample
Description
TPM
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
101.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
89.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
80.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
77.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
76.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
74.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
73.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
73.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
73.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
72.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
72.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
72.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
72.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
68.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
67.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
66.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
65.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
64.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
63.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
60.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
54.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
54.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
44.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
36.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
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
