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.
NCSTN 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
51.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
130.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
112.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
101.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
99.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
96.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
89.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
86.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
85.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
84.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
83.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
81.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
80.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
77.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
75.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
73.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
70.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
69.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
69.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
68.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
67.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
64.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
64.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
63.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
62.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
62.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
62.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
60.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
60.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
60.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
60.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
59.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
59.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
59.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
57.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
56.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
55.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
55.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
54.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
54.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
54.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
53.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
53.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
52.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
52.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
51.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
50.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
48.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
48.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
47.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
47.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
43.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
41.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
39.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
37.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
21.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
NCSTN 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
67.2
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
158.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
147.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
130.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
123.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
116.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
113.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
110.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
106.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
103.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
101.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
100.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
99.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
99.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
98.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
98.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
98.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
96.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
95.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
94.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
94.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
92.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
91.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
91.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
90.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
90.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
90.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
89.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
89.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
89.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
89.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
88.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
87.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
87.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
87.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
87.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
86.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
86.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
86.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
85.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
85.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
85.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
84.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
84.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
84.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
84.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
83.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
83.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
83.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
83.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
83.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
82.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
82.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
81.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
81.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
80.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
80.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
80.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
80.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
79.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
79.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
79.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
78.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
76.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
76.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
75.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
75.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
75.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
75.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
73.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
73.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
73.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
73.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
73.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
72.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
72.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
72.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
71.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
71.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
71.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
71.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
70.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
70.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
70.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
70.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
69.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
68.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
68.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
68.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
67.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
67.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
67.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
67.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
66.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
66.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
65.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
65.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
65.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
64.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
64.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
64.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
63.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
63.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
62.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
61.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
61.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
61.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
61.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
61.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
60.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
59.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
59.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
59.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
58.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
58.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
58.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
58.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
58.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
57.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
57.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
56.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
54.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
53.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
52.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
NCSTN 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
51.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
100.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
99.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
87.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
75.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
68.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
67.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
66.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
61.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
58.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
58.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
57.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
51.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
49.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
47.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
47.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
44.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
43.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
41.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NCSTN 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
62.1
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
119.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
105.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
105.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
103.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
102.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
101.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
100.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
97.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
96.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
92.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
87.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
86.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
84.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
79.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
76.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
76.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
74.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
73.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
72.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
70.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
70.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
69.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
68.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
67.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
65.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
64.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
62.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
61.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
61.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
59.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
58.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
55.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
53.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
52.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
51.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
50.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
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
