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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.
RAPH1 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
5.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
16.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
12.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
11.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
10.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
9.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
8.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
7.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
7.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
7.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
7.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
7.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
6.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
6.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
6.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
6.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
6.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
6.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
6.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
6.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
5.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
5.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
5.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
5.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
5.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
5.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
5.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
5.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
5.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
4.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
4.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
4.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
4.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
4.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
4.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
4.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
4.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
4.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
4.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
4.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
4.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
3.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
3.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
RAPH1 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
32.4
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
118.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
117.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
75.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
47.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
44.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
43.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
43.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
39.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
36.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
35.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
34.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
33.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
32.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
31.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
31.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
31.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
31.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
30.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
30.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
30.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
30.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
29.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
29.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
28.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
28.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
28.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
28.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
28.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
28.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
28.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
28.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
28.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
27.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
27.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
27.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
27.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
27.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
26.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
26.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
26.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
26.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
26.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
26.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
26.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
25.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
25.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
25.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
25.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
25.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
25.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
25.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
24.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
24.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
24.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
24.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
24.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
24.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
24.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
24.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
23.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
23.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
23.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
23.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
23.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
23.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
22.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
22.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
22.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
22.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
22.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
22.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
21.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
21.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
21.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
21.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
21.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
21.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
20.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
20.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
20.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
20.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
20.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
20.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
19.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
19.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
19.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
19.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
19.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
19.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
18.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
18.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
18.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
17.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
17.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
17.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
16.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
16.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
16.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
15.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
14.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
RAPH1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
9.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
8.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
7.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
6.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
6.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
5.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
5.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
5.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
5.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
4.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
4.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
4.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
4.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
4.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
4.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAPH1 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
30.9
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
78.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
72.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
32.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
29.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
29.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
28.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
28.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
27.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
27.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
27.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
24.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
23.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
23.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
23.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
23.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
22.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
21.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
21.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
20.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
19.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
19.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
19.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
16.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
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
