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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.
NCBP2 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
57.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
140.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
130.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
123.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
118.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
117.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
116.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
105.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
102.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
102.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
100.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
99.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
99.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
95.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
92.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
92.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
92.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
91.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
89.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
89.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
88.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
86.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
86.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
85.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
82.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
82.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
82.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
80.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
76.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
76.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
76.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
75.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
75.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
74.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
73.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
71.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
70.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
70.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
70.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
69.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
69.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
68.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
67.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
66.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
66.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
66.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
64.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
63.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
63.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
63.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
62.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
61.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
61.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
61.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
60.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
60.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
57.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
57.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
57.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
56.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
56.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
54.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
54.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
53.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
53.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
52.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
52.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
52.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
52.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
50.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
49.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
48.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
47.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
46.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
44.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
44.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
44.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
44.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
43.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
43.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
41.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
41.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
37.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
33.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.1
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.
NCBP2 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
51.5
Number of samples
486
Samples
Sample
Description
TPM
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
171.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
137.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
135.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
126.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
123.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
107.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
101.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
99.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
93.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
90.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
89.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
88.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
87.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
87.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
85.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
84.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
81.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
81.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
80.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
80.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
77.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
77.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
76.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
76.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
74.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
73.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
69.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
66.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
64.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
63.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
62.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
60.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
58.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
57.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
56.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
52.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
50.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
49.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
47.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
45.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
44.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
41.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
35.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NCBP2 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
67.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
135.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
134.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
126.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
113.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
102.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
99.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
97.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
96.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
94.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
87.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
86.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
86.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
85.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
85.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
84.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
80.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
79.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
78.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
76.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
73.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
72.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
71.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
70.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
69.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
68.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
62.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
61.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
59.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
58.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
56.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
55.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
51.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
50.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
50.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
47.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
43.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
37.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
36.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
NCBP2 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
55.5
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
134.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
102.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
92.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
88.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
87.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
85.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
84.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
84.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
83.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
81.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
79.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
74.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
74.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
73.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
72.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
72.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
72.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
71.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
71.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
68.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
65.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
64.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
64.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
61.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
61.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
59.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
58.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
52.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
51.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
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Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
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Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
b2400046-1d25-429d-a821-6040a6
Tumor
-1.2
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
