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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.
H2AC13 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
12.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
573.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
562.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
523.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
500.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
378.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
328.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
5.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
4.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
4.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
4.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
4.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
3.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
0.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
0.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
0.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
0.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
0.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
0.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
0.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
0.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
0.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
0.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
0.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
0.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
0.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
0.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
0.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
0.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
0.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
0.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 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.
H2AC13 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
251.9
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
756.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
739.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
737.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
701.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
674.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
632.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
609.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
571.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
570.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
565.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
561.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
555.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
545.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
540.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
528.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
517.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
517.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
501.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
499.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
493.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
486.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
481.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
479.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
478.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
476.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
471.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
469.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
468.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
466.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
465.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
463.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
459.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
450.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
449.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
439.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
438.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
436.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
432.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
432.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
429.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
428.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
426.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
424.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
421.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
421.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
418.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
417.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
417.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
417.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
415.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
414.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
412.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
411.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
410.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
409.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
409.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
403.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
398.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
397.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
388.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
388.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
383.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
382.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
382.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
379.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
379.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
376.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
376.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
374.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
373.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
373.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
372.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
371.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
367.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
366.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
365.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
364.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
363.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
363.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
363.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
362.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
362.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
361.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
361.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
358.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
358.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
356.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
355.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
354.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
350.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
349.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
348.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
346.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
346.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
346.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
344.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
343.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
342.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
340.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
336.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
334.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
334.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
332.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
331.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
329.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
329.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
325.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
325.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
325.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
324.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
323.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
323.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
322.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
320.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
320.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
319.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
318.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
317.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
317.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
317.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
314.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
312.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
311.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
311.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
309.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
309.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
308.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
307.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
306.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
306.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
305.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
305.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
305.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
304.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
303.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
301.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
300.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
299.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
296.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
296.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
295.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
295.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
295.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
294.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
294.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
294.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
293.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
293.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
292.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
290.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
289.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
289.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
289.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
289.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
288.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
287.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
287.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
287.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
287.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
283.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
282.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
282.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
281.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
281.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
280.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
279.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
278.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
277.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
274.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
274.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
274.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
273.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
272.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
271.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
270.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
270.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
268.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
268.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
267.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
267.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
267.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
266.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
266.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
266.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
265.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
265.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
265.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
264.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
264.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
263.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
263.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
263.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
263.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
263.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
262.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
261.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
260.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
260.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
260.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
260.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
259.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
257.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
256.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
256.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
256.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
255.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
254.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
253.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
253.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
251.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
251.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
251.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
250.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
248.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
246.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
245.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
245.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
245.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
244.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
244.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
244.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
244.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
243.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
243.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
242.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
242.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
241.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
240.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
239.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
239.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
239.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
238.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
237.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
237.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
236.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
236.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
236.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
235.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
235.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
235.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
235.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
234.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
232.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
231.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
231.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
229.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
229.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
228.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
227.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
227.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
226.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
226.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
224.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
224.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
223.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
222.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
221.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
221.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
220.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
220.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
219.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
219.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
219.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
218.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
218.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
217.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
217.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
217.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
216.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
216.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
215.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
215.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
214.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
213.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
213.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
213.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
211.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
211.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
210.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
210.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
210.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
209.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
209.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
208.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
208.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
208.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
207.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
207.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
207.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
207.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
207.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
206.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
205.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
205.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
204.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
204.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
204.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
203.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
203.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
202.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
202.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
201.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
199.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
199.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
198.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
196.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
196.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
196.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
196.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
196.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
195.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
193.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
192.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
191.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
191.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
190.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
190.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
189.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
189.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
188.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
188.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
188.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
187.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
187.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
187.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
186.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
185.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
184.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
184.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
183.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
183.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
183.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
181.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
181.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
181.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
181.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
180.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
179.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
179.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
179.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
179.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
179.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
178.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
177.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
176.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
175.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
175.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
175.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
174.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
173.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
173.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
173.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
172.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
172.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
171.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
170.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
168.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
168.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
168.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
166.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
166.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
166.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
166.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
165.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
165.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
164.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
162.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
162.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
162.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
161.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
161.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
161.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
160.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
160.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
159.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
159.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
158.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
157.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
157.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
156.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
155.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
154.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
153.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
153.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
153.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
153.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
152.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
151.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
151.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
150.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
150.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
149.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
148.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
147.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
147.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
147.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
147.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
146.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
146.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
145.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
144.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
143.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
142.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
142.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
141.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
141.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
141.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
140.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
140.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
137.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
136.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
136.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
136.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
136.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
135.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
135.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
134.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
134.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
134.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
132.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
132.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
132.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
132.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
132.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
132.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
131.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
130.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
129.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
126.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
125.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
125.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
125.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
123.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
122.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
121.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
119.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
119.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
119.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
117.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
117.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
117.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
115.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
115.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
115.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
113.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
113.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
113.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
111.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
111.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
106.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
105.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
105.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
104.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
103.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
103.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
102.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
101.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
99.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
97.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
94.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
94.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
93.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
92.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
85.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
85.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
82.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
78.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
68.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
61.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
18.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
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.
H2AC13 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
1.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
3.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
0.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
0.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
0.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
0.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
0.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
0.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
H2AC13 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
191.2
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
604.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
579.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
542.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
459.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
402.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
400.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
400.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
399.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
398.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
382.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
371.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
367.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
363.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
346.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
345.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
345.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
343.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
334.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
334.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
332.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
328.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
326.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
319.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
317.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
312.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
310.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
308.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
302.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
299.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
298.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
298.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
297.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
297.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
287.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
286.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
286.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
285.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
280.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
279.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
277.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
269.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
269.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
269.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
267.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
265.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
259.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
259.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
258.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
255.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
253.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
253.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
252.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
251.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
251.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
248.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
244.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
242.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
242.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
241.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
240.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
240.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
239.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
238.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
236.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
234.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
232.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
231.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
230.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
229.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
228.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
226.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
223.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
222.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
222.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
220.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
218.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
210.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
210.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
209.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
207.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
207.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
206.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
205.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
204.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
197.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
197.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
196.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
194.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
190.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
190.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
189.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
187.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
186.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
186.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
185.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
183.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
182.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
181.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
180.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
180.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
180.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
180.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
176.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
176.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
176.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
175.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
175.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
173.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
171.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
170.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
167.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
166.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
166.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
166.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
166.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
165.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
162.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
160.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
160.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
159.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
159.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
158.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
158.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
156.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
154.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
153.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
152.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
152.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
147.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
147.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
145.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
145.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
143.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
143.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
142.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
140.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
140.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
137.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
135.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
134.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
131.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
131.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
129.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
125.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
125.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
124.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
121.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
119.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
119.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
114.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
113.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
113.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
112.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
111.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
107.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
107.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
107.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
106.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
104.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
101.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
101.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
101.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
96.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
93.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
92.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
92.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
91.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
88.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
88.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
86.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
86.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
83.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
80.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
78.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
76.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
66.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
55.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
54.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
16.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
