We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
H2AC14 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
8.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
483.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
342.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
342.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
307.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
299.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
130.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
0.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
0.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
0.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
0.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
0.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
0.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
0.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
0.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
0.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
0.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
0.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
0.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
0.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
0.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
0.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
0.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
0.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
0.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
0.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
0.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
0.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
0.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
0.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
0.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
0.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
0.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
0.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
0.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
0.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
0.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
0.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
0.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
0.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
0.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
0.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
0.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
0.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
0.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
0.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
0.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
0.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
0.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
0.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
0.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
0.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
0.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
0.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
0.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
0.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
0.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
0.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
0.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
0.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
0.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
0.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
0.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
0.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
0.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
0.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
0.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 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.
H2AC14 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
327.7
Number of samples
486
Samples
Sample
Description
TPM
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1282.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1094.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1006.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
961.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
955.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
944.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
931.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
928.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
887.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
882.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
852.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
848.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
793.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
791.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
783.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
783.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
774.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
765.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
758.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
742.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
732.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
728.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
716.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
706.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
698.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
698.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
686.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
668.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
665.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
658.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
658.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
647.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
644.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
637.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
626.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
626.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
615.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
613.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
606.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
597.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
595.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
592.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
585.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
582.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
578.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
576.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
575.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
574.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
568.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
565.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
562.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
559.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
557.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
548.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
545.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
545.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
545.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
539.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
537.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
535.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
532.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
532.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
531.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
530.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
525.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
525.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
525.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
522.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
520.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
518.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
517.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
516.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
503.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
502.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
502.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
501.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
500.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
492.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
491.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
489.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
487.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
486.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
484.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
483.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
483.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
482.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
481.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
480.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
480.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
477.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
477.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
475.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
471.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
471.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
469.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
455.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
454.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
454.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
453.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
451.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
451.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
451.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
450.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
450.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
450.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
447.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
446.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
445.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
443.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
443.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
440.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
436.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
435.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
435.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
433.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
432.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
428.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
428.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
428.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
425.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
420.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
416.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
412.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
408.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
407.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
407.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
404.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
401.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
400.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
399.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
397.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
396.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
396.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
395.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
391.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
391.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
391.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
391.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
390.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
390.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
388.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
388.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
387.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
386.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
386.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
386.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
385.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
383.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
379.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
376.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
374.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
370.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
369.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
369.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
368.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
367.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
366.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
365.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
365.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
363.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
363.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
362.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
361.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
360.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
359.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
358.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
357.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
357.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
356.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
356.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
355.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
354.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
354.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
354.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
353.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
351.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
349.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
348.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
347.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
347.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
346.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
346.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
346.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
345.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
344.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
342.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
340.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
337.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
336.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
336.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
335.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
332.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
331.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
331.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
326.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
326.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
324.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
324.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
324.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
321.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
321.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
321.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
319.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
319.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
319.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
318.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
318.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
318.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
317.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
314.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
313.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
313.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
313.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
313.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
312.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
312.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
312.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
311.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
311.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
311.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
309.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
308.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
308.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
306.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
305.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
305.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
304.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
304.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
303.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
303.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
301.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
301.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
300.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
298.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
298.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
297.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
297.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
296.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
295.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
294.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
294.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
293.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
292.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
291.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
291.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
288.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
288.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
288.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
287.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
284.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
282.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
282.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
277.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
277.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
276.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
276.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
275.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
274.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
274.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
274.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
273.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
270.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
270.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
268.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
268.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
268.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
268.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
266.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
264.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
263.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
262.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
262.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
261.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
260.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
260.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
260.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
260.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
259.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
258.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
256.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
255.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
255.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
254.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
253.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
251.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
250.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
250.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
248.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
248.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
245.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
245.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
244.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
244.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
244.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
243.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
243.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
243.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
242.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
240.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
239.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
238.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
238.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
238.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
237.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
236.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
236.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
235.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
235.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
234.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
234.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
234.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
233.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
233.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
232.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
232.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
231.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
229.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
229.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
229.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
228.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
228.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
227.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
226.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
225.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
225.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
222.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
220.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
220.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
218.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
218.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
218.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
218.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
218.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
218.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
217.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
217.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
216.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
215.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
215.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
215.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
213.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
212.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
212.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
212.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
210.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
210.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
209.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
208.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
208.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
207.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
207.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
207.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
205.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
205.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
203.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
203.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
202.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
202.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
201.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
200.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
197.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
196.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
195.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
193.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
192.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
190.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
190.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
189.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
188.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
187.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
187.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
186.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
186.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
185.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
185.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
184.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
184.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
182.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
181.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
180.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
179.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
179.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
179.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
178.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
178.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
176.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
176.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
176.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
176.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
175.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
175.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
172.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
171.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
171.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
169.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
167.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
167.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
167.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
166.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
165.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
164.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
163.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
162.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
162.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
162.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
160.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
159.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
159.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
157.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
157.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
156.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
155.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
155.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
153.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
153.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
152.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
152.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
152.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
151.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
147.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
145.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
144.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
144.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
143.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
142.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
142.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
142.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
141.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
138.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
138.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
135.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
135.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
135.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
135.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
134.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
130.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
129.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
128.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
127.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
126.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
126.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
126.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
125.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
123.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
122.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
120.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
120.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
119.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
118.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
118.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
118.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
117.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
115.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
115.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
114.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
112.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
112.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
109.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
106.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
104.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
104.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
100.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
100.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
97.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
97.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
96.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
91.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
88.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
87.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
85.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
84.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
57.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
22.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
Survival analysis data not available.
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
0.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
0.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
0.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
0.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
0.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
0.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
0.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
0.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
0.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
0.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
0.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
0.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
0.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
0.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
0.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
0.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
0.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
0.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
0.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
0.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
0.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
0.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
0.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
0.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
0.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
0.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
0.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
0.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
0.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
0.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
0.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
0.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 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.
H2AC14 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
236.9
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
820.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
813.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
748.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
740.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
711.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
685.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
599.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
548.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
543.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
514.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
505.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
477.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
468.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
460.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
446.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
445.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
443.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
442.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
442.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
433.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
424.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
410.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
403.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
393.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
392.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
381.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
377.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
376.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
369.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
368.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
368.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
361.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
358.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
356.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
352.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
348.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
344.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
340.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
334.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
333.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
332.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
329.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
326.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
325.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
324.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
318.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
317.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
315.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
312.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
312.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
306.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
306.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
305.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
303.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
302.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
295.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
294.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
287.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
286.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
285.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
284.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
283.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
280.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
277.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
274.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
273.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
272.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
269.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
269.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
267.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
267.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
267.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
265.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
264.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
263.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
263.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
261.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
261.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
258.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
257.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
255.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
253.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
252.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
251.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
248.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
247.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
247.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
246.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
242.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
240.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
237.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
237.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
236.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
235.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
229.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
226.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
226.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
225.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
224.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
224.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
220.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
217.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
215.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
212.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
210.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
210.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
210.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
206.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
203.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
197.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
194.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
194.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
192.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
191.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
189.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
189.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
188.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
188.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
187.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
185.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
180.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
177.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
175.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
175.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
174.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
173.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
171.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
169.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
168.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
168.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
168.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
168.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
165.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
165.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
163.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
157.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
152.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
152.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
151.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
149.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
148.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
147.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
145.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
145.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
144.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
143.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
142.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
142.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
142.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
141.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
140.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
140.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
139.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
138.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
138.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
136.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
135.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
134.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
134.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
133.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
130.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
130.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
128.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
125.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
125.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
124.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
123.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
114.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
114.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
111.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
105.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
105.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
105.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
104.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
102.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
102.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
102.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
101.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
100.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
100.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
99.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
98.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
84.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
79.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
76.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
65.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
42.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
12.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.7
Show allShow less
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
