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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.
KIF1C 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
31.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
79.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
69.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
62.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
59.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
59.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
55.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
48.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
43.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
40.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
39.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
35.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
34.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
33.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
33.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
27.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
26.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
26.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
26.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
24.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
22.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
22.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
17.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
KIF1C 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
57.5
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
129.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
123.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
117.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
112.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
107.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
105.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
103.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
97.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
97.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
93.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
92.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
91.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
91.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
89.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
88.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
87.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
87.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
86.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
86.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
86.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
85.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
85.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
84.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
83.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
82.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
82.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
81.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
81.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
81.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
80.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
79.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
78.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
78.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
77.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
77.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
76.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
76.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
76.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
76.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
76.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
75.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
74.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
74.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
73.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
73.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
72.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
72.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
72.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
72.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
71.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
71.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
70.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
70.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
69.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
69.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
69.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
68.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
68.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
67.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
67.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
67.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
67.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
66.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
66.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
65.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
65.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
65.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
65.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
65.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
65.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
63.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
63.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
63.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
62.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
62.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
62.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
61.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
61.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
61.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
60.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
60.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
60.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
58.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
58.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
56.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
56.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
55.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
50.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
50.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
47.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
47.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
40.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
KIF1C 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
29.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
88.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
62.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
38.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
29.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
25.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
25.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
23.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
22.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.9
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.
KIF1C 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
52.8
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
136.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
106.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
104.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
104.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
88.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
83.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
83.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
82.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
81.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
81.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
79.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
77.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
76.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
75.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
75.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
73.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
72.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
69.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
66.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
66.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
65.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
64.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
62.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
61.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
59.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
54.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
51.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
43.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
29.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
28.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
24.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
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Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
