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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.
H1-5 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
16.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1848.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
743.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
508.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
467.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
447.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
0.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
0.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
0.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
0.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
0.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
0.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
0.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
0.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
0.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
0.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
0.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
0.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
0.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
0.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
0.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
0.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
0.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
0.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
0.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
0.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
0.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
0.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
0.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
0.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
0.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
0.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
0.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
0.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
0.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
0.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
0.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
0.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
0.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
0.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
0.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
0.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
0.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
0.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
0.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
0.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
0.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
0.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
0.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
0.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
0.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
0.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
0.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
0.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
0.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
0.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
0.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
0.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
0.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
0.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
0.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
0.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
0.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
0.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
0.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
0.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
0.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
0.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
0.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
0.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
H1-5 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
298.7
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
929.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
896.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
817.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
775.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
765.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
754.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
746.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
736.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
721.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
705.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
698.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
690.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
661.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
637.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
634.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
632.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
628.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
607.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
602.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
592.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
591.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
590.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
586.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
583.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
579.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
578.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
578.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
578.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
576.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
572.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
565.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
561.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
560.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
560.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
555.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
554.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
550.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
548.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
541.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
541.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
539.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
536.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
529.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
527.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
520.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
513.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
512.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
509.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
506.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
496.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
496.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
494.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
491.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
491.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
484.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
483.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
483.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
478.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
476.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
475.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
471.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
468.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
468.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
464.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
462.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
461.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
459.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
458.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
457.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
453.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
452.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
452.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
451.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
450.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
450.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
448.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
447.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
446.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
446.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
444.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
443.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
433.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
433.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
432.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
431.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
431.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
430.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
429.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
429.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
429.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
428.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
427.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
427.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
425.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
421.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
421.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
421.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
420.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
419.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
419.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
418.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
417.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
417.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
417.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
417.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
416.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
416.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
415.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
413.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
411.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
411.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
411.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
411.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
410.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
410.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
410.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
409.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
409.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
407.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
405.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
403.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
402.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
402.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
399.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
397.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
392.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
391.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
391.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
390.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
387.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
387.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
387.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
386.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
385.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
382.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
382.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
381.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
381.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
379.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
378.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
378.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
377.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
377.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
376.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
376.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
374.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
371.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
369.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
369.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
367.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
365.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
365.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
363.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
362.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
356.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
355.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
353.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
353.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
352.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
350.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
350.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
349.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
349.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
347.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
345.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
344.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
343.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
341.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
337.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
337.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
337.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
336.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
335.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
333.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
331.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
329.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
329.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
328.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
327.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
327.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
327.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
326.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
326.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
325.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
324.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
323.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
320.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
319.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
318.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
317.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
317.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
315.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
314.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
313.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
313.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
313.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
312.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
312.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
312.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
309.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
307.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
307.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
306.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
305.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
305.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
304.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
304.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
303.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
303.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
303.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
298.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
296.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
295.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
292.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
291.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
291.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
290.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
290.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
288.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
286.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
286.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
285.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
285.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
284.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
284.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
283.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
282.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
282.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
280.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
276.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
276.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
276.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
275.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
274.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
274.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
273.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
273.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
273.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
272.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
271.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
271.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
271.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
269.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
269.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
268.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
267.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
267.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
263.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
262.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
261.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
261.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
261.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
260.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
259.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
259.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
259.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
257.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
257.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
256.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
256.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
255.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
255.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
255.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
254.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
254.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
254.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
253.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
252.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
252.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
252.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
252.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
250.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
250.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
250.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
249.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
249.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
249.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
247.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
247.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
247.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
246.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
246.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
245.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
245.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
245.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
243.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
243.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
242.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
242.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
242.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
241.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
241.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
241.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
239.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
239.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
239.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
238.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
237.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
237.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
236.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
236.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
235.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
234.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
234.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
233.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
232.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
232.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
232.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
232.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
231.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
231.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
231.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
230.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
229.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
229.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
229.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
227.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
226.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
224.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
224.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
224.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
223.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
222.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
222.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
221.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
220.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
220.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
220.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
219.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
218.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
217.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
216.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
214.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
213.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
213.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
213.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
211.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
210.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
208.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
207.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
207.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
206.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
204.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
204.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
203.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
203.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
202.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
202.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
202.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
201.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
201.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
200.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
200.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
199.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
198.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
198.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
198.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
197.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
196.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
196.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
195.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
194.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
193.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
192.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
192.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
191.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
191.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
190.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
190.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
189.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
188.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
188.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
187.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
185.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
184.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
183.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
183.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
182.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
181.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
181.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
181.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
181.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
180.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
180.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
179.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
179.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
178.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
178.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
177.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
176.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
176.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
176.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
175.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
174.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
173.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
172.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
172.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
171.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
171.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
170.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
170.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
166.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
165.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
165.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
162.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
162.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
162.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
162.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
161.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
156.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
155.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
154.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
153.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
153.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
151.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
150.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
149.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
148.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
148.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
146.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
146.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
144.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
142.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
141.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
140.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
138.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
136.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
134.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
131.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
131.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
131.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
128.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
127.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
126.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
119.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
119.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
118.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
113.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
110.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
106.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
102.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
101.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
100.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
94.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
93.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
89.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
87.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
85.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
73.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
72.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
67.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
62.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
33.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
23.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
9.0
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.
Survival analysis data not available.
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
0.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
0.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
0.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
0.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
0.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
0.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
0.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
0.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
0.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
0.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
0.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
0.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
0.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
0.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
0.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
0.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
0.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
0.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
0.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
0.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
0.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
0.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
0.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
0.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
0.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
0.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
0.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
0.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
0.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
0.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
0.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
0.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
H1-5 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
254.1
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
736.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
647.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
622.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
577.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
572.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
539.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
526.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
522.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
513.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
499.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
487.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
480.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
477.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
474.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
474.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
472.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
453.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
450.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
449.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
443.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
434.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
429.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
420.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
414.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
411.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
397.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
392.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
385.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
385.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
381.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
380.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
379.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
377.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
372.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
371.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
364.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
363.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
361.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
360.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
355.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
351.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
350.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
349.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
348.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
348.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
345.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
345.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
342.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
340.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
339.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
338.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
338.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
337.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
336.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
334.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
333.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
331.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
331.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
330.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
329.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
329.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
328.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
325.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
320.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
318.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
312.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
311.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
311.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
310.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
310.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
309.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
303.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
300.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
299.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
295.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
294.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
294.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
288.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
287.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
286.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
284.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
281.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
280.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
279.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
276.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
275.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
274.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
273.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
270.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
269.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
269.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
266.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
264.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
263.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
262.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
261.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
261.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
254.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
253.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
252.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
249.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
247.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
247.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
246.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
246.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
244.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
243.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
243.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
241.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
237.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
236.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
232.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
231.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
230.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
226.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
222.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
221.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
217.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
210.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
208.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
208.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
207.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
207.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
206.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
205.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
205.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
203.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
203.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
200.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
198.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
196.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
196.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
194.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
194.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
193.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
192.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
192.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
189.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
187.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
182.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
178.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
175.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
174.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
170.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
170.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
167.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
167.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
165.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
163.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
162.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
161.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
160.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
157.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
155.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
150.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
150.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
148.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
147.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
147.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
146.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
145.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
141.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
140.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
139.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
138.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
137.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
137.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
132.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
130.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
129.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
128.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
124.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
124.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
116.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
114.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
113.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
111.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
108.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
106.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
103.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
100.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
93.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
90.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
86.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
82.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
79.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
73.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
70.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
68.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
67.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
53.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
15.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
8.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
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
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_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
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
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
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
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
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
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
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
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
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
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
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_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
