We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
NABP2 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
47.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
98.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
90.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
86.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
85.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
83.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
80.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
80.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
76.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
76.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
76.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
74.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
73.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
72.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
72.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
69.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
68.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
67.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
66.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
65.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
63.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
62.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
62.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
62.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
60.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
57.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
57.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
56.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
56.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
56.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
55.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
55.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
55.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
55.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
54.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
54.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
53.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
52.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
51.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
51.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
51.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
49.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
48.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
48.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
48.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
46.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
45.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
41.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
41.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
41.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
40.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
39.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
39.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
38.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
35.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
35.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
NABP2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.9
Number of samples
486
Samples
Sample
Description
TPM
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
69.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
61.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
52.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
52.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
50.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
48.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
42.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
41.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
41.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
41.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
36.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
36.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
36.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
36.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
35.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
32.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
29.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
29.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
27.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
27.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
27.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
26.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
25.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
25.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
24.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
24.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
22.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
22.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
21.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
18.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
NABP2 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
45.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
82.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
80.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
75.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
68.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
65.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
62.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
56.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
54.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
52.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
50.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
45.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
44.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
44.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.7
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.
NABP2 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
35.2
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
47.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
45.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
41.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
35.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
31.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
30.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
28.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
26.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
26.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
24.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
20.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
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
