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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.
ZKSCAN1 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
22.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
106.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
84.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
71.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
44.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
32.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
32.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
30.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
29.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
25.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
24.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
23.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
23.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
21.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
20.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
19.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
19.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
17.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
15.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
11.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
10.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
ZKSCAN1 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
79.7
Number of samples
486
Samples
Sample
Description
TPM
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
171.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
170.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
169.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
168.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
167.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
156.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
155.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
152.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
151.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
148.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
148.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
147.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
147.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
147.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
147.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
141.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
140.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
140.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
139.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
138.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
138.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
137.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
136.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
136.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
136.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
134.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
134.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
134.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
132.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
131.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
131.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
131.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
131.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
130.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
130.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
129.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
128.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
127.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
127.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
127.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
125.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
125.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
124.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
123.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
121.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
120.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
120.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
120.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
120.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
119.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
118.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
118.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
116.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
116.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
114.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
114.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
113.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
113.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
112.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
110.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
110.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
109.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
109.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
108.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
108.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
108.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
108.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
107.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
107.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
107.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
107.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
107.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
106.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
106.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
105.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
105.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
105.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
104.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
104.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
104.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
104.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
104.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
104.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
103.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
102.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
102.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
102.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
101.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
101.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
100.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
100.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
100.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
100.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
99.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
99.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
99.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
99.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
98.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
98.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
98.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
98.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
98.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
97.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
97.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
96.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
96.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
96.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
95.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
94.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
94.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
94.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
93.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
93.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
92.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
92.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
92.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
92.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
92.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
92.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
92.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
92.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
91.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
90.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
90.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
90.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
90.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
89.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
88.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
88.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
87.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
87.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
87.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
87.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
85.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
85.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
85.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
85.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
85.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
85.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
84.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
84.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
83.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
83.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
83.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
83.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
83.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
82.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
82.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
82.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
82.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
82.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
81.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
81.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
81.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
81.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
80.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
80.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
80.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
80.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
79.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
79.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
78.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
77.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
77.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
77.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
77.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
77.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
77.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
77.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
77.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
76.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
76.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
75.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
75.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
75.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
74.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
74.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
74.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
73.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
70.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
70.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
70.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
69.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
69.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
69.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
69.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
68.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
68.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
67.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
66.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
65.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
65.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
65.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
63.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
62.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
61.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
61.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
60.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
58.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
55.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
54.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
45.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.3
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.
ZKSCAN1 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
24.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
37.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
30.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
21.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
19.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
ZKSCAN1 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
78.5
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
176.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
151.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
140.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
138.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
138.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
129.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
125.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
123.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
123.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
120.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
118.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
115.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
115.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
115.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
115.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
115.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
113.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
113.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
112.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
112.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
110.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
109.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
107.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
106.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
106.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
105.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
105.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
105.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
102.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
102.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
101.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
100.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
99.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
99.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
98.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
98.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
97.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
97.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
97.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
97.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
96.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
96.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
95.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
95.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
93.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
93.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
92.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
92.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
90.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
90.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
90.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
88.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
88.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
88.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
87.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
87.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
87.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
86.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
86.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
86.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
85.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
84.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
84.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
84.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
83.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
82.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
81.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
81.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
81.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
81.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
80.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
80.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
80.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
79.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
78.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
76.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
76.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
76.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
75.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
74.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
74.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
74.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
74.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
72.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
72.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
69.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
67.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
67.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
66.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
62.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
60.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
58.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
58.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
55.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
54.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d80408d6-598d-4411-ab34-eb2545_D2
Normal
5.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-2.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.