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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.
GREM1 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
7.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
90.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
80.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
42.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
35.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
27.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
15.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
14.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
14.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
10.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
10.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
8.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
7.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
6.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
6.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
6.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
5.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
5.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
4.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
4.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
4.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
3.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
0.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
0.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
0.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
0.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
0.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
0.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
0.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
0.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
GREM1 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
43.8
Number of samples
486
Samples
Sample
Description
TPM
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
182.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
171.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
170.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
166.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
163.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
161.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
159.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
157.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
154.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
153.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
150.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
146.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
146.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
142.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
141.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
140.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
139.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
138.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
131.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
131.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
130.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
127.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
125.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
125.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
125.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
124.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
124.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
122.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
118.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
114.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
108.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
107.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
107.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
107.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
106.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
104.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
104.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
102.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
100.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
99.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
96.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
95.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
95.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
94.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
94.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
93.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
90.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
90.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
89.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
89.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
88.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
88.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
86.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
86.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
85.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
83.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
82.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
82.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
81.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
79.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
78.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
78.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
77.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
76.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
75.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
73.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
73.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
73.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
72.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
72.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
72.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
71.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
67.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
66.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
63.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
61.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
60.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
59.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
51.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
50.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
33.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
32.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
29.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
29.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
28.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
27.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
27.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
27.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
26.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
26.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
26.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
25.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
24.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
24.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
23.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
23.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
23.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
22.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
21.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
21.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
21.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
21.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
21.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
21.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
21.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
21.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
21.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
20.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
19.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
19.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
19.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
18.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
18.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
17.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
17.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
17.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
17.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
17.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
17.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
16.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
16.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
16.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
16.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
16.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
15.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
15.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
15.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
15.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
14.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
14.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
14.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
14.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
14.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
13.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
13.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
13.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
12.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
12.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
12.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
12.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
11.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
11.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
11.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
11.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
11.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
11.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
11.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
11.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
11.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
10.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
10.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
10.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
10.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
10.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
10.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
9.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
9.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
9.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
9.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
9.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
9.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
9.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
8.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
8.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
8.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
7.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
7.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
7.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
6.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
6.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
6.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
5.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
5.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
5.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
5.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
5.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
5.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
5.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
5.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
5.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
4.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
4.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
4.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
4.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
4.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
3.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
3.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
3.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
3.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
3.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
3.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
3.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
3.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
3.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
3.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
2.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
2.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
2.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
2.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
2.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
0.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
0.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
0.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
0.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
0.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 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.
GREM1 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
8.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
70.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
54.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
13.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
7.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
6.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
6.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
4.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
4.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
0.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
0.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
0.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 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.
GREM1 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
42.9
Number of samples
207
Samples
Sample
Description
TPM
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
267.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
199.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
192.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
188.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
183.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
182.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
175.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
168.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
164.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
149.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
148.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
128.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
127.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
121.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
120.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
119.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
119.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
115.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
113.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
110.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
108.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
103.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
101.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
99.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
98.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
96.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
96.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
88.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
87.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
86.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
78.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
77.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
76.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
75.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
74.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
73.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
21.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
19.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
18.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
18.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
18.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
17.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
16.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
16.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
16.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
15.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
15.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
15.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
14.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
14.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
14.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
14.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
13.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
13.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
13.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
13.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
13.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
12.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
12.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
12.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
12.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
12.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
11.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
11.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
11.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
11.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
11.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
10.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
9.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
9.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
9.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
7.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
7.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
7.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
7.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
6.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
6.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
6.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
5.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
5.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
5.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
5.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
5.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
4.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
4.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
4.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
3.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
3.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
2.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
0.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
0.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
0.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
0.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
0.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
0.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
0.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.6
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
