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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.
POGZ 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
12.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
30.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
18.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
15.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
15.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
14.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
14.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
13.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
13.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
13.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
12.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
12.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
10.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
10.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
10.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
POGZ 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
46.0
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
98.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
77.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
77.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
74.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
69.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
68.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
66.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
60.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
60.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
57.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
56.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
55.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
53.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
52.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
51.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
49.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
49.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
48.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
47.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
44.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
42.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
42.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
42.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
38.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
37.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
35.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
33.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
32.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
31.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
31.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
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.
POGZ 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
12.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
15.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
13.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
13.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
10.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
9.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.3
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.
POGZ 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
42.9
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
76.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
76.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
60.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
59.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
52.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
51.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
51.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
49.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
42.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
25.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
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Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
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Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
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Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
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Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
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Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
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
