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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.
ABCB1 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
8.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
19.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
16.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
13.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
13.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
9.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
9.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
8.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
7.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
6.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
6.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
6.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
5.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
5.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
5.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
4.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
4.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
3.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
3.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
0.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
0.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
ABCB1 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
14.0
Number of samples
486
Samples
Sample
Description
TPM
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
96.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
91.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
85.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
85.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
69.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
35.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
31.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
30.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
29.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
29.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
28.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
27.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
27.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
25.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
24.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
24.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
23.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
23.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
23.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
23.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
22.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
22.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
22.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
21.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
21.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
21.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
21.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
20.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
19.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
19.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
19.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
19.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
18.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
18.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
18.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
18.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
18.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
17.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
17.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
17.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
17.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
16.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
16.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
16.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
16.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
16.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
15.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
15.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
15.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
15.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
15.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
15.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
14.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
14.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
14.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
14.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
14.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
14.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
14.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
14.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
14.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
14.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
14.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
14.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
14.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
14.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
13.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
13.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
13.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
13.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
13.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
13.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
13.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
13.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
13.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
13.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
12.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
12.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
12.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
12.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
12.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
12.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
12.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
12.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
12.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
12.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
12.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
12.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
11.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
11.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
11.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
11.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
11.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
11.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
11.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
11.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
11.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
11.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
10.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
10.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
10.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
10.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
10.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
10.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
10.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
10.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
10.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
10.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
10.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
10.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
10.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
10.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
10.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
10.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
9.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
9.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
9.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
9.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
9.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
9.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
9.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
9.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
9.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
9.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
9.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
9.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
8.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
8.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
8.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
8.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
8.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
8.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
8.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
7.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
7.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
7.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
7.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
7.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
7.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
7.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
7.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
7.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
7.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
7.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
7.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
7.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
7.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
7.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
7.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
7.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
7.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
7.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
7.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
7.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
7.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
7.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
7.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
7.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
7.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
6.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
6.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
6.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
6.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
6.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
6.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
6.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
6.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
6.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
6.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
6.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
6.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
6.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
6.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
6.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
6.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
6.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
6.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
5.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
5.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
5.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
5.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
5.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
5.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
5.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
5.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
5.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
5.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
5.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
5.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
5.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
5.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
5.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
5.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
5.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
5.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
5.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
5.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
5.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
4.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
4.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
4.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
4.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
4.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
4.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
4.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
4.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
4.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
4.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
4.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
4.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
4.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
4.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
4.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
4.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
4.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
4.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
4.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
4.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
4.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
4.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
4.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
4.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
4.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
4.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
4.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
4.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
4.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
4.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
4.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
4.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
4.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
3.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
3.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
3.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
3.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
3.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
3.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
3.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
3.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
3.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
3.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
3.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
3.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
3.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
3.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
3.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
3.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
3.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
3.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
3.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
3.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
3.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
3.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
3.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
3.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
3.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
3.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
2.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
2.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
2.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
2.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
2.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
2.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
2.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
2.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
2.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
2.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
2.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
2.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
0.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
0.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 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.
ABCB1 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
8.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
18.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
17.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
14.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
9.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
6.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
5.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
5.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
5.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
3.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
0.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
0.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 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.
ABCB1 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
14.8
Number of samples
207
Samples
Sample
Description
TPM
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
31.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
25.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
24.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
24.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
23.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
22.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
22.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
21.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
20.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
20.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
20.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
20.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
19.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
18.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
18.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
17.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
16.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
16.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
16.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
16.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
15.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
15.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
14.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
14.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
14.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
14.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
14.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
13.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
13.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
12.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
12.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
12.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
12.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
12.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
12.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
11.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
11.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
11.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
11.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
11.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
11.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
11.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
11.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
11.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
11.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
11.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
11.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
10.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
10.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
10.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
10.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
10.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
10.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
10.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
10.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
9.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
9.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
9.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
9.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
9.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
9.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
9.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
9.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
9.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
8.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
8.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
8.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
8.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
8.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
8.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
8.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
8.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
8.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
8.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
8.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
8.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
8.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
7.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
7.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
7.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
7.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
7.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
6.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
6.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
6.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
6.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
6.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
6.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
6.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
6.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
6.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
5.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
5.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
5.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
5.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
5.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
5.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
4.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
4.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
4.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
4.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
4.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
4.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
4.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
4.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
4.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
4.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
3.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
3.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
3.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
3.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
3.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
3.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
3.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
3.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
3.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
3.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
3.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
2.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
2.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
2.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
2.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
2.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
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Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
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Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.0
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
