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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.
ZFP62 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
11.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
21.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
17.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
14.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
13.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
13.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
11.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
11.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
11.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
11.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
11.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
9.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
9.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
9.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
7.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
7.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
ZFP62 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
32.7
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
41.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
41.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
38.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
34.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
33.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
33.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
33.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
31.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
31.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
30.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
30.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
30.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
30.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
30.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
30.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
30.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
30.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
30.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
30.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
29.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
29.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
29.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
28.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
28.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
28.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
28.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
28.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
28.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
27.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
27.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
27.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
27.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
27.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
27.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
27.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
27.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
27.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
26.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
26.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
26.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
26.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
25.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
25.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
25.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
25.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
25.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
25.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
25.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
25.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
25.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
25.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
25.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
24.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
24.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
23.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
23.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
23.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
23.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
23.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
23.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
22.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
22.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
22.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
22.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
22.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
22.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
22.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
22.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
22.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
22.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
22.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
21.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
21.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
21.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
21.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
21.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
21.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
21.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
21.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
20.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
20.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
20.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
20.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
20.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
20.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
19.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
19.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
19.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
19.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
19.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
19.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
15.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
13.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
ZFP62 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
11.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
14.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
14.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
13.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
11.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
ZFP62 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
34.4
Number of samples
207
Samples
Sample
Description
TPM
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
47.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
47.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
44.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
43.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
35.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
32.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
30.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
29.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
29.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
28.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
27.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
27.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
26.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
26.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
24.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
24.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
23.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
22.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
22.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
22.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
21.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
21.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
20.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
20.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
20.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
19.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
18.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
17.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
16.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.4
b2400046-1d25-429d-a821-6040a6
Tumor
-1.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.7
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
