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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.
NUCKS1 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
46.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
109.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
106.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
101.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
101.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
88.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
86.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
81.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
79.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
78.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
78.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
77.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
76.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
76.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
73.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
72.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
70.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
68.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
63.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
62.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
61.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
61.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
61.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
59.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
59.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
55.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
55.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
52.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
50.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
50.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
47.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
47.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
46.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
46.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
44.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
44.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
43.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
42.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
42.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
41.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
40.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
39.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
39.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
38.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
37.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
35.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
34.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
31.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
31.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
NUCKS1 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
77.7
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
193.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
179.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
177.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
163.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
153.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
148.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
148.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
148.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
146.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
141.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
140.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
138.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
136.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
135.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
135.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
135.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
132.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
129.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
129.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
129.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
128.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
126.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
125.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
124.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
122.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
121.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
121.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
121.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
120.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
120.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
119.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
117.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
116.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
116.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
116.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
114.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
114.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
114.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
113.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
112.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
112.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
111.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
110.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
110.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
109.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
109.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
109.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
107.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
107.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
106.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
106.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
105.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
105.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
105.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
103.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
102.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
102.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
102.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
101.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
101.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
100.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
100.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
100.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
100.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
99.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
99.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
99.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
98.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
98.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
98.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
98.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
98.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
98.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
98.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
97.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
97.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
97.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
96.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
96.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
96.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
96.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
95.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
95.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
95.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
94.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
94.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
94.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
93.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
93.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
93.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
92.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
92.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
92.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
92.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
92.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
91.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
91.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
90.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
90.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
90.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
90.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
90.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
89.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
89.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
89.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
89.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
89.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
88.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
88.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
88.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
87.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
87.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
87.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
86.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
86.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
86.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
86.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
84.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
84.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
84.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
84.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
84.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
84.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
83.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
83.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
83.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
83.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
82.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
81.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
80.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
80.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
80.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
80.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
79.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
78.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
78.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
78.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
78.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
78.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
78.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
77.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
77.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
76.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
76.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
75.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
75.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
75.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
75.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
74.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
74.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
74.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
74.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
74.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
74.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
73.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
73.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
73.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
73.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
72.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
72.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
72.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
72.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
71.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
71.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
68.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
68.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
68.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
67.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
67.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
67.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
66.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
66.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
66.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
65.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
65.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
65.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
64.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
64.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
64.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
64.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
63.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
63.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
63.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
63.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
61.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
61.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
61.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
61.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
61.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
58.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
57.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
56.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
55.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
53.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
49.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUCKS1 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
49.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
142.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
111.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
87.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
87.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
80.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
78.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
74.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
74.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
68.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
64.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
51.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
51.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
47.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
40.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
39.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
33.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
31.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
NUCKS1 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
69.9
Number of samples
207
Samples
Sample
Description
TPM
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
171.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
151.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
149.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
147.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
125.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
115.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
113.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
110.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
109.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
108.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
108.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
108.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
107.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
104.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
104.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
103.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
101.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
101.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
101.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
99.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
99.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
99.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
97.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
96.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
95.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
94.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
92.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
90.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
88.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
87.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
86.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
85.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
84.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
82.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
82.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
82.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
81.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
81.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
81.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
80.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
79.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
79.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
78.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
78.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
78.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
78.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
77.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
76.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
76.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
76.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
76.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
71.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
70.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
70.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
70.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
69.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
68.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
67.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
67.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
67.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
65.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
65.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
65.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
64.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
64.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
62.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
62.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
58.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
57.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
57.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
57.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
53.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
51.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
48.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
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Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
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Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
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Tumor
0.3
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Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
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Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
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Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.0
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Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
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Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
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Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
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Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
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Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
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Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
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Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
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Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
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Tumor
-1.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
