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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.
BROX 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
19.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
64.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
62.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
47.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
44.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
40.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
32.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
23.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
22.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
21.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
21.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
20.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
20.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
19.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
19.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
18.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
17.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
17.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
17.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
17.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
16.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
15.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
14.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 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.
BROX 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
51.4
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
119.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
117.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
117.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
114.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
106.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
105.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
100.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
99.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
93.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
85.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
84.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
84.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
82.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
81.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
77.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
76.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
75.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
75.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
74.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
74.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
73.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
73.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
71.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
70.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
70.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
70.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
69.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
69.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
68.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
66.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
66.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
65.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
62.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
60.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
59.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
56.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
51.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
50.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
49.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
47.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
42.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
38.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
35.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
29.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
BROX 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
20.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.6
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
28.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
20.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
18.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.9
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.
BROX 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
47.2
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
115.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
108.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
89.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
85.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
82.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
78.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
70.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
65.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
65.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
63.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
59.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
57.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
46.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
40.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
