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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.
H2AC8 is potential prognostic, high expression is unfavorable 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
11.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
501.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
344.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
336.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
308.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
295.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
200.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
7.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
6.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
6.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
6.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
5.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
4.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
4.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
4.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
4.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
4.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
3.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
3.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
3.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
3.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
3.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
3.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
3.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
2.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 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.
H2AC8 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
329.2
Number of samples
486
Samples
Sample
Description
TPM
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
887.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
883.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
869.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
842.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
817.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
816.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
794.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
756.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
731.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
718.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
709.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
696.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
679.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
668.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
664.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
661.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
646.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
642.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
641.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
634.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
633.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
630.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
623.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
622.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
622.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
620.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
619.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
618.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
599.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
597.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
595.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
591.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
582.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
576.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
576.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
566.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
564.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
561.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
560.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
555.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
554.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
553.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
552.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
549.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
545.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
539.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
538.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
536.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
534.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
531.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
529.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
525.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
521.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
520.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
520.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
517.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
517.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
515.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
513.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
511.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
511.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
508.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
505.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
505.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
499.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
498.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
495.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
495.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
493.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
486.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
485.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
484.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
482.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
480.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
479.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
478.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
476.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
473.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
470.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
469.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
468.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
464.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
463.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
459.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
457.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
455.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
453.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
449.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
449.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
447.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
447.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
444.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
443.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
441.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
440.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
438.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
437.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
437.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
437.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
435.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
434.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
432.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
432.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
432.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
428.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
427.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
424.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
423.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
422.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
422.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
421.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
420.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
419.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
419.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
412.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
411.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
410.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
410.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
409.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
407.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
407.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
405.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
405.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
405.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
405.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
404.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
404.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
399.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
397.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
397.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
397.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
391.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
390.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
388.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
387.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
387.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
385.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
385.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
385.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
385.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
384.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
383.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
383.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
383.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
380.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
380.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
380.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
379.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
379.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
379.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
378.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
376.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
374.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
372.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
372.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
372.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
371.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
371.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
371.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
371.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
370.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
369.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
367.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
367.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
366.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
362.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
362.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
360.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
360.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
360.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
360.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
359.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
358.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
357.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
356.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
355.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
355.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
355.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
354.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
353.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
352.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
352.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
351.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
351.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
349.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
348.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
348.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
347.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
345.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
344.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
343.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
343.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
343.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
342.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
339.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
339.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
339.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
337.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
336.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
336.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
335.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
332.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
332.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
332.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
332.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
330.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
330.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
330.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
329.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
329.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
329.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
328.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
328.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
328.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
328.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
327.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
326.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
324.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
323.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
322.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
322.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
319.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
318.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
318.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
317.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
317.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
315.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
315.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
314.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
314.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
312.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
312.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
312.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
310.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
309.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
309.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
309.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
307.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
306.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
304.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
303.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
302.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
302.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
302.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
302.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
302.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
301.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
301.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
300.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
297.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
297.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
295.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
295.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
294.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
294.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
294.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
293.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
293.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
292.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
292.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
291.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
291.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
290.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
290.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
290.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
289.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
289.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
288.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
288.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
287.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
287.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
287.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
286.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
284.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
283.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
282.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
281.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
281.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
280.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
280.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
280.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
279.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
279.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
279.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
278.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
278.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
277.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
276.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
275.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
275.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
275.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
274.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
273.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
273.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
273.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
271.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
270.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
268.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
268.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
267.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
267.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
266.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
266.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
265.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
264.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
263.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
263.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
261.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
260.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
260.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
257.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
257.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
255.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
255.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
255.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
255.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
254.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
253.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
252.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
251.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
250.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
250.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
249.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
249.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
249.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
249.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
248.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
248.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
248.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
246.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
245.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
245.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
244.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
243.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
242.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
242.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
241.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
240.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
240.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
240.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
238.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
238.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
237.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
236.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
235.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
235.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
233.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
232.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
232.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
231.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
229.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
228.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
228.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
227.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
226.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
226.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
225.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
225.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
224.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
224.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
223.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
223.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
221.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
221.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
221.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
219.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
219.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
219.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
218.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
218.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
217.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
217.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
214.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
214.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
214.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
213.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
213.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
212.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
211.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
208.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
207.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
207.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
207.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
206.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
206.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
204.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
204.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
204.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
202.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
202.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
201.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
200.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
199.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
198.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
197.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
196.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
196.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
195.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
193.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
193.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
192.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
191.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
190.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
189.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
189.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
188.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
188.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
188.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
188.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
186.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
186.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
185.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
184.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
183.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
182.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
181.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
181.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
180.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
180.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
177.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
175.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
175.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
173.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
173.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
171.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
171.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
170.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
170.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
170.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
170.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
168.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
168.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
167.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
167.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
166.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
166.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
165.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
164.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
164.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
161.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
160.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
158.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
158.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
157.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
157.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
157.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
154.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
154.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
153.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
151.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
149.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
148.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
147.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
147.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
142.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
139.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
139.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
138.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
137.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
136.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
136.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
135.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
135.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
133.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
132.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
128.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
125.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
122.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
121.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
118.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
117.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
117.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
116.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
115.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
111.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
110.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
105.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
104.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
100.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
98.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
94.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
91.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
66.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
31.4
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.
H2AC8 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
10.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
8.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
7.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
4.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
3.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
3.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
0.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
H2AC8 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
275.8
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
688.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
670.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
612.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
581.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
580.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
576.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
569.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
537.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
520.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
511.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
489.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
487.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
482.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
471.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
465.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
458.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
450.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
450.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
443.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
441.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
436.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
435.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
434.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
433.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
428.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
428.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
425.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
422.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
417.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
416.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
414.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
413.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
413.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
410.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
403.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
402.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
400.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
397.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
392.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
390.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
386.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
384.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
382.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
379.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
372.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
371.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
364.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
361.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
359.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
357.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
357.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
356.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
353.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
350.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
349.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
349.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
349.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
349.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
344.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
341.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
341.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
338.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
335.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
334.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
330.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
330.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
330.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
328.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
328.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
327.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
324.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
322.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
321.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
320.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
319.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
318.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
318.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
317.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
315.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
315.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
311.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
310.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
310.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
308.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
302.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
301.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
298.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
298.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
295.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
294.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
291.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
289.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
287.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
286.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
285.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
284.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
281.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
277.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
275.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
274.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
274.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
272.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
272.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
269.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
269.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
268.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
267.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
264.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
263.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
263.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
260.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
253.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
250.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
249.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
248.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
243.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
239.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
237.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
235.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
230.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
229.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
229.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
226.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
223.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
223.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
222.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
221.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
220.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
218.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
215.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
213.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
213.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
208.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
208.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
207.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
206.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
206.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
205.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
205.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
204.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
203.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
203.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
202.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
200.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
197.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
197.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
194.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
193.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
192.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
192.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
190.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
185.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
182.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
182.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
181.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
181.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
179.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
176.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
173.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
170.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
169.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
168.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
166.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
162.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
162.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
156.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
151.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
151.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
149.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
147.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
147.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
146.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
144.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
144.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
141.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
138.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
136.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
133.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
133.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
132.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
129.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
127.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
117.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
117.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
116.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
114.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
113.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
111.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
107.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
105.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
105.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
98.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
97.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
94.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
77.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
76.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
71.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
70.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
70.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
69.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
