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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GDI1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
57.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
152.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
130.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
129.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
112.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
105.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
102.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
101.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
90.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
90.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
85.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
85.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
84.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
84.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
83.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
83.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
82.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
81.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
81.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
80.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
80.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
79.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
77.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
76.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
76.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
75.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
72.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
71.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
71.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
70.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
69.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
69.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
69.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
69.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
69.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
67.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
67.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
67.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
65.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
63.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
63.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
62.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
61.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
61.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
60.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
59.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
57.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
56.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
55.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
55.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
54.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
54.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
54.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
52.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
50.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
50.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
49.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
46.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
44.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
40.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
35.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
GDI1 is potential prognostic, high expression is unfavorable 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
56.5
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
181.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
173.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
133.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
132.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
126.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
112.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
112.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
109.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
108.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
102.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
98.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
97.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
97.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
93.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
91.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
90.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
89.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
85.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
83.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
82.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
81.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
77.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
77.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
76.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
75.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
75.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
75.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
74.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
73.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
72.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
71.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
70.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
70.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
69.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
69.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
69.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
68.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
68.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
67.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
65.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
63.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
60.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
60.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
59.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
53.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
51.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
51.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
48.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
44.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
42.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
38.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
32.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
24.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
24.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GDI1 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
57.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
123.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
105.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
98.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
94.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
86.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
84.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
83.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
81.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
77.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
73.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
73.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
72.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
70.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
65.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
62.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
62.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
61.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
61.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
60.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
60.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
59.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
58.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
58.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
55.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
52.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
52.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
46.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
45.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
43.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
42.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
40.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.0
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.
GDI1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
52.6
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
103.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
100.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
91.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
90.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
90.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
89.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
81.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
79.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
77.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
74.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
71.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
69.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
68.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
65.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
63.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
63.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
61.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
59.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
49.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
47.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
40.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
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Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
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Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
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Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
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Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
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Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
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Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
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Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
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Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
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
