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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.
KLC1 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
32.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
64.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
50.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
48.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
46.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
46.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
45.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
40.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
40.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
39.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
37.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
33.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
32.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
32.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
30.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
29.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
29.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
28.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
27.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
24.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
19.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
18.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
KLC1 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
73.0
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
141.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
137.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
130.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
124.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
122.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
121.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
120.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
120.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
119.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
117.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
115.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
112.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
109.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
107.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
107.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
107.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
106.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
106.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
106.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
105.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
105.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
105.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
105.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
104.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
104.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
104.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
104.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
104.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
102.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
101.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
101.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
101.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
100.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
100.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
100.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
99.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
99.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
99.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
97.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
97.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
96.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
96.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
95.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
95.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
95.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
95.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
94.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
92.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
92.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
91.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
91.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
91.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
91.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
91.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
91.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
90.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
90.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
90.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
90.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
90.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
90.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
89.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
89.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
89.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
89.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
89.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
88.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
88.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
87.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
87.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
87.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
87.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
87.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
86.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
86.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
86.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
86.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
86.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
85.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
85.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
85.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
85.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
84.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
84.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
84.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
83.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
83.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
83.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
83.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
83.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
83.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
82.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
82.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
82.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
81.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
81.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
81.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
81.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
81.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
80.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
80.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
80.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
80.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
80.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
80.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
80.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
79.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
79.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
79.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
78.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
78.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
77.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
77.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
77.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
77.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
76.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
76.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
76.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
76.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
76.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
76.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
76.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
76.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
76.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
75.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
74.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
74.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
74.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
74.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
72.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
72.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
72.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
72.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
71.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
71.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
71.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
71.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
70.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
70.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
70.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
70.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
70.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
70.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
69.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
69.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
69.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
69.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
69.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
69.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
68.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
68.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
67.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
67.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
67.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
67.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
67.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
67.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
66.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
66.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
66.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
64.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
63.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
63.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
62.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
62.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
61.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
60.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
58.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
57.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
56.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
55.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
55.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
48.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
43.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.1
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.
KLC1 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
29.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
45.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
43.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
43.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
37.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
37.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
37.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
27.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
19.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
15.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.3
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.
KLC1 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
72.6
Number of samples
207
Samples
Sample
Description
TPM
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
119.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
118.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
112.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
109.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
109.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
107.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
106.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
106.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
102.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
100.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
100.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
99.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
97.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
97.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
97.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
95.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
94.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
94.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
93.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
92.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
92.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
92.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
92.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
92.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
90.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
89.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
89.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
88.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
87.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
87.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
87.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
86.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
86.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
85.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
85.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
84.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
84.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
83.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
83.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
82.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
81.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
81.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
80.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
80.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
79.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
78.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
78.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
78.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
77.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
76.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
76.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
76.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
75.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
75.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
75.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
75.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
75.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
75.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
74.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
73.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
73.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
72.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
72.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
71.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
71.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
71.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
71.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
71.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
70.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
70.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
70.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
69.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
68.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
67.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
67.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
67.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
64.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
64.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
64.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
63.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
63.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
62.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
61.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
61.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
60.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
57.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
57.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
56.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
52.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
52.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
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
