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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.
H4C14 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
17.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
784.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
693.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
650.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
612.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
429.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
377.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
19.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
10.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
9.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
9.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
6.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
5.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
4.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
4.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
4.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
4.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
4.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
3.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
3.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
3.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
3.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
3.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
3.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
3.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
2.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
0.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
H4C14 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
256.3
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1049.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
778.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
763.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
706.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
691.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
685.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
673.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
660.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
650.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
647.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
638.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
636.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
623.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
609.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
601.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
591.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
553.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
553.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
551.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
532.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
517.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
516.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
515.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
508.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
505.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
501.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
497.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
492.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
491.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
484.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
480.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
480.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
479.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
474.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
472.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
468.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
466.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
460.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
457.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
453.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
453.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
453.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
453.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
452.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
451.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
444.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
442.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
442.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
438.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
437.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
437.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
435.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
434.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
429.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
426.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
419.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
418.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
417.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
416.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
416.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
415.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
414.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
413.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
412.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
409.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
409.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
405.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
403.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
402.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
401.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
398.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
395.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
392.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
392.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
388.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
386.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
384.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
384.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
383.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
381.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
381.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
380.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
379.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
378.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
375.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
373.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
372.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
372.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
371.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
369.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
368.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
368.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
367.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
364.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
363.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
361.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
361.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
359.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
356.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
352.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
351.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
351.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
350.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
349.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
349.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
343.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
342.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
339.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
338.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
338.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
337.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
335.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
333.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
330.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
327.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
325.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
324.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
324.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
323.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
322.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
321.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
319.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
318.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
316.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
316.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
312.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
311.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
310.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
309.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
307.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
307.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
306.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
304.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
303.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
303.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
303.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
303.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
299.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
299.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
299.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
299.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
299.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
297.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
297.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
296.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
296.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
294.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
294.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
294.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
291.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
291.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
289.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
289.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
286.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
286.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
286.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
285.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
284.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
284.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
284.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
283.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
283.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
283.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
283.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
283.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
280.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
280.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
280.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
280.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
279.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
276.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
276.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
276.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
275.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
275.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
275.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
272.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
271.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
270.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
270.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
270.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
269.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
267.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
266.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
266.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
265.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
265.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
265.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
264.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
263.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
263.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
262.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
262.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
261.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
261.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
261.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
261.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
259.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
259.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
258.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
258.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
257.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
257.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
256.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
256.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
256.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
256.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
255.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
255.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
255.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
254.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
252.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
252.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
250.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
250.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
250.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
250.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
248.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
248.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
245.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
244.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
241.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
241.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
241.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
240.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
238.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
237.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
237.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
236.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
235.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
235.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
235.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
234.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
233.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
233.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
232.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
231.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
231.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
230.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
230.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
229.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
229.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
228.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
228.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
226.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
226.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
225.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
224.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
224.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
223.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
222.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
222.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
222.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
220.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
220.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
219.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
218.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
218.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
218.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
217.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
216.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
216.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
216.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
216.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
214.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
214.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
214.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
213.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
213.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
213.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
212.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
212.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
212.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
211.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
211.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
211.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
211.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
210.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
209.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
208.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
207.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
206.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
205.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
205.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
204.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
202.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
202.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
200.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
200.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
200.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
200.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
200.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
198.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
196.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
196.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
196.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
195.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
195.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
194.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
193.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
193.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
191.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
191.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
190.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
190.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
189.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
189.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
189.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
188.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
187.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
187.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
187.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
187.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
187.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
187.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
186.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
185.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
185.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
185.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
184.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
184.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
184.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
183.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
181.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
181.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
180.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
180.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
180.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
180.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
179.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
179.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
179.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
179.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
178.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
178.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
176.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
176.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
175.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
175.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
175.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
173.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
173.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
173.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
170.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
169.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
169.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
169.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
168.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
168.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
168.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
168.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
167.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
167.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
166.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
166.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
166.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
165.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
164.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
164.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
164.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
163.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
160.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
159.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
159.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
159.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
159.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
159.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
158.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
158.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
156.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
156.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
155.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
155.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
155.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
154.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
154.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
153.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
151.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
150.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
149.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
149.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
149.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
149.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
148.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
147.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
147.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
146.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
146.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
145.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
145.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
144.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
144.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
144.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
143.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
143.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
140.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
140.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
140.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
139.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
138.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
137.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
137.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
137.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
136.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
136.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
135.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
135.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
133.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
133.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
132.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
131.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
131.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
129.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
129.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
129.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
128.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
127.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
126.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
126.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
126.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
124.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
121.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
120.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
118.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
118.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
117.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
116.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
116.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
116.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
115.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
114.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
114.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
114.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
112.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
111.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
110.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
108.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
106.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
106.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
105.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
105.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
103.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
102.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
100.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
100.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
99.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
97.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
96.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
95.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
94.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
94.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
91.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
89.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
88.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
87.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
85.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
85.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
84.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
84.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
84.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
82.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
77.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
74.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
67.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.5
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.
H4C14 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
3.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
6.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
5.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
3.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
0.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
0.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
0.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
H4C14 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
197.2
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
718.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
633.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
533.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
526.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
512.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
488.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
479.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
468.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
451.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
426.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
419.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
417.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
414.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
392.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
392.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
392.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
387.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
380.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
379.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
374.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
370.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
367.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
361.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
359.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
356.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
340.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
317.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
317.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
305.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
302.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
297.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
296.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
289.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
287.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
285.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
284.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
281.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
277.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
277.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
274.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
274.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
269.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
268.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
268.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
266.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
264.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
263.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
262.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
260.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
258.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
257.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
254.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
253.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
253.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
252.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
249.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
249.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
243.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
240.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
239.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
236.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
235.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
234.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
232.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
232.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
227.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
226.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
226.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
225.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
223.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
220.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
217.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
213.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
212.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
212.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
208.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
204.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
203.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
203.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
202.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
202.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
199.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
197.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
196.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
196.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
196.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
195.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
193.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
193.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
192.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
191.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
190.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
190.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
188.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
184.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
183.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
183.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
182.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
181.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
180.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
180.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
178.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
178.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
177.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
177.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
174.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
173.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
172.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
172.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
171.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
169.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
168.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
166.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
164.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
164.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
163.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
161.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
159.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
159.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
158.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
156.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
154.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
153.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
153.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
152.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
152.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
149.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
144.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
143.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
140.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
140.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
139.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
138.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
138.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
135.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
135.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
132.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
132.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
131.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
129.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
129.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
129.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
128.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
128.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
127.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
122.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
122.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
119.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
118.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
118.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
117.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
117.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
115.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
110.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
110.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
109.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
108.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
108.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
107.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
107.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
106.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
102.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
101.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
100.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
98.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
98.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
96.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
92.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
90.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
90.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
88.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
88.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
87.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
86.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
84.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
83.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
79.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
79.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
78.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
72.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
72.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
67.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
66.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
17.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
12.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.5
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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
