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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
H2BC4 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
14.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
683.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
610.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
510.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
449.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
328.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
307.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
6.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
4.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
4.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
4.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
4.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
3.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
3.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
3.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
3.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
2.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
0.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
0.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
0.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
0.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 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.
H2BC4 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
459.0
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1271.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1114.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1050.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1022.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1008.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
988.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
971.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
955.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
952.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
934.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
934.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
911.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
872.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
872.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
868.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
866.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
862.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
856.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
855.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
839.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
833.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
809.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
808.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
804.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
794.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
793.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
792.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
782.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
780.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
769.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
767.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
765.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
764.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
754.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
751.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
748.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
747.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
744.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
732.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
731.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
717.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
710.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
710.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
709.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
705.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
702.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
700.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
697.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
695.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
693.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
691.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
681.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
677.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
673.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
672.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
667.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
666.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
662.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
661.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
658.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
657.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
652.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
651.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
648.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
646.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
645.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
643.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
639.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
636.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
633.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
630.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
630.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
627.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
626.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
624.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
620.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
616.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
615.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
613.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
613.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
611.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
609.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
609.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
605.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
603.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
602.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
601.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
601.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
599.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
598.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
597.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
596.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
596.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
596.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
595.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
594.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
592.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
592.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
589.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
588.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
587.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
585.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
583.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
582.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
580.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
579.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
576.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
574.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
574.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
574.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
571.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
570.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
570.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
567.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
563.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
561.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
559.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
559.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
557.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
553.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
553.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
553.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
551.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
549.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
548.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
548.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
548.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
545.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
543.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
543.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
541.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
540.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
539.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
539.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
538.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
536.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
536.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
535.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
535.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
524.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
524.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
523.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
523.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
522.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
521.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
519.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
519.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
518.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
513.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
512.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
511.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
511.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
511.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
508.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
508.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
507.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
505.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
504.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
503.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
502.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
501.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
498.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
497.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
496.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
496.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
495.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
495.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
495.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
494.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
493.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
492.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
491.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
491.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
491.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
487.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
486.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
486.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
485.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
485.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
485.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
483.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
483.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
481.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
480.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
480.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
479.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
479.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
478.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
477.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
474.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
473.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
471.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
469.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
469.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
469.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
468.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
467.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
467.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
466.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
466.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
466.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
465.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
465.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
461.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
460.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
459.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
459.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
458.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
457.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
457.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
455.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
455.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
454.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
451.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
450.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
450.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
450.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
449.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
448.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
447.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
447.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
445.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
445.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
444.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
444.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
443.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
443.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
442.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
441.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
440.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
439.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
438.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
438.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
438.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
437.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
437.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
436.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
436.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
436.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
435.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
433.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
432.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
432.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
431.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
430.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
429.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
429.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
428.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
428.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
426.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
426.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
426.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
426.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
425.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
425.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
425.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
423.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
421.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
421.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
420.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
419.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
418.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
418.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
416.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
416.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
413.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
412.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
412.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
411.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
411.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
409.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
409.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
409.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
408.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
407.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
407.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
406.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
405.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
404.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
403.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
402.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
400.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
399.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
399.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
398.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
397.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
397.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
396.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
395.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
394.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
393.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
393.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
392.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
391.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
390.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
389.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
389.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
389.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
389.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
388.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
388.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
388.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
387.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
387.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
386.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
385.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
385.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
385.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
384.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
384.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
382.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
381.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
380.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
379.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
378.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
378.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
376.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
374.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
371.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
371.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
369.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
368.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
368.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
367.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
367.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
366.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
366.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
365.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
365.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
364.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
364.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
364.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
363.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
363.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
363.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
362.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
361.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
360.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
359.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
358.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
358.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
358.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
356.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
355.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
354.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
353.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
350.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
350.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
350.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
349.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
348.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
346.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
345.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
345.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
345.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
344.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
343.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
343.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
341.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
341.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
340.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
339.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
339.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
337.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
337.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
336.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
336.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
336.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
335.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
333.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
331.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
330.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
329.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
328.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
324.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
324.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
323.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
322.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
321.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
321.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
321.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
320.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
319.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
318.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
317.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
317.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
317.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
316.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
315.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
315.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
314.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
313.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
312.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
311.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
310.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
310.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
308.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
307.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
306.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
304.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
304.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
303.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
303.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
302.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
302.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
301.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
298.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
294.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
293.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
291.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
291.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
291.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
290.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
289.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
287.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
284.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
284.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
283.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
283.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
283.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
283.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
282.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
282.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
281.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
281.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
278.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
276.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
275.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
274.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
272.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
271.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
270.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
269.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
267.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
267.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
266.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
264.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
263.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
263.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
262.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
261.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
256.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
255.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
254.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
251.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
251.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
248.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
248.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
245.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
244.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
242.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
242.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
242.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
240.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
234.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
232.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
230.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
228.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
228.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
227.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
223.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
223.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
219.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
215.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
211.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
210.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
210.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
206.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
206.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
206.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
203.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
203.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
203.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
201.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
194.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
193.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
193.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
191.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
180.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
172.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
171.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
170.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
170.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
101.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
18.0
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.
H2BC4 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
5.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
4.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
4.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
3.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
3.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
3.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
3.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
0.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 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.
H2BC4 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
392.9
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
963.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
921.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
828.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
782.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
763.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
758.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
707.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
701.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
689.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
687.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
682.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
674.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
674.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
663.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
663.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
661.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
646.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
638.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
636.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
612.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
611.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
605.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
604.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
598.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
596.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
594.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
593.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
589.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
587.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
585.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
583.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
572.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
569.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
567.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
564.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
547.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
544.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
543.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
543.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
540.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
529.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
513.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
513.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
508.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
503.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
502.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
497.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
495.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
495.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
488.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
486.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
484.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
476.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
476.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
466.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
466.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
462.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
460.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
460.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
459.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
454.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
454.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
453.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
453.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
451.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
450.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
450.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
439.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
439.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
437.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
433.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
433.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
431.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
431.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
429.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
429.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
428.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
427.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
426.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
424.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
423.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
423.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
420.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
416.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
416.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
415.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
414.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
411.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
406.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
406.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
404.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
404.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
403.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
403.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
402.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
399.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
397.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
396.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
396.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
396.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
389.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
388.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
388.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
386.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
380.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
376.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
373.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
368.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
364.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
361.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
358.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
357.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
353.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
351.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
351.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
349.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
346.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
342.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
342.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
340.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
339.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
338.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
335.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
334.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
330.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
329.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
329.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
328.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
327.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
326.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
325.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
323.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
321.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
321.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
318.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
313.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
312.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
311.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
309.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
309.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
308.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
307.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
304.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
302.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
301.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
299.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
293.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
290.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
289.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
285.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
283.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
282.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
277.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
276.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
275.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
272.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
263.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
260.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
258.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
258.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
257.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
253.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
248.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
248.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
248.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
248.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
247.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
245.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
244.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
243.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
242.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
235.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
235.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
235.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
234.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
229.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
223.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
222.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
222.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
208.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
204.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
200.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
200.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
200.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
198.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
198.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
192.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
192.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
189.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
189.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
181.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
179.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
175.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
174.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
171.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
170.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
169.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
167.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
166.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
165.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
160.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
143.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
139.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
133.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
123.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
121.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.