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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.
PRKCD 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
28.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
101.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
72.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
47.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
45.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
36.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
33.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
33.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
27.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
25.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
20.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
19.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.5
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.
PRKCD 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
38.3
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
99.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
64.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
56.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
55.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
52.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
51.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
48.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
37.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
36.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
35.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
35.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
35.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
34.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
34.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
33.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
33.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
32.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
32.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
32.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
30.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
29.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
29.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
29.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
29.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
28.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
26.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
26.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
25.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
24.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
24.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
24.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
23.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
23.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
23.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
22.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
22.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
21.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
20.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
20.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
20.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
19.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
18.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
17.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
15.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
PRKCD 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
30.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
53.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
32.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
28.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
26.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
24.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PRKCD 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
39.2
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
83.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
72.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
24.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
21.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
19.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
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Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
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Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
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Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
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Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
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Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
