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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.
MACC1 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
11.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
111.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
26.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
25.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
24.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
21.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
16.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
14.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
12.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
11.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
10.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
10.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
9.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
9.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
8.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
7.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
7.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
7.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
6.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
6.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
6.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
6.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
5.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 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.
MACC1 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
41.0
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
226.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
160.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
144.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
129.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
122.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
112.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
111.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
109.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
106.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
103.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
90.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
85.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
85.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
84.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
84.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
83.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
82.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
82.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
81.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
78.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
77.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
75.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
74.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
74.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
73.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
68.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
65.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
62.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
58.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
55.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
50.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
50.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
49.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
39.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
38.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
37.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
35.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
31.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
30.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
29.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
28.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
28.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
28.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
28.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
27.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
26.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
26.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
26.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
26.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
26.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
25.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
25.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
25.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
23.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
23.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
22.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
22.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
22.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
22.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
22.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
21.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
20.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
20.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
20.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
20.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
19.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
19.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
19.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
18.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
18.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
18.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
18.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
18.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
17.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
17.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
17.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
16.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
16.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
16.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
16.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
16.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
16.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
16.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
16.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
15.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
15.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
15.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
15.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
15.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
15.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
15.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
15.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
14.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
14.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
14.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
14.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
13.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
13.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
13.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
12.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
12.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
12.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
12.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
12.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
11.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
11.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
11.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
11.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
10.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
10.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
10.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
10.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
9.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
9.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
8.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
8.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
8.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
7.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
7.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
6.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
6.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
6.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
5.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
5.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
4.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MACC1 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
12.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
40.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
19.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
19.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
18.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
14.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
7.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
5.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
4.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MACC1 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
39.0
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
150.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
127.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
95.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
71.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
71.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
65.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
64.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
64.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
45.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
28.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
25.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
24.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
24.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
21.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
21.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
20.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
19.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
18.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
18.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
17.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
17.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
17.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
16.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
15.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
14.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
11.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
10.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-2.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
