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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.
GPS1 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
64.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
141.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
118.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
116.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
113.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
111.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
108.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
106.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
105.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
105.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
104.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
103.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
102.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
101.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
97.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
96.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
96.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
96.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
95.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
94.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
92.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
91.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
89.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
89.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
89.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
89.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
88.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
88.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
88.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
88.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
86.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
86.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
85.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
84.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
84.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
84.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
83.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
83.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
83.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
83.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
80.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
79.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
79.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
79.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
78.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
77.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
77.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
76.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
76.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
74.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
73.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
73.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
72.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
68.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
68.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
67.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
66.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
66.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
66.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
65.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
65.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
65.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
64.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
64.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
63.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
63.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
62.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
62.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
62.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
61.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
61.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
60.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
60.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
60.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
59.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
59.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
59.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
58.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
58.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
58.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
58.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
57.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
57.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
57.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
55.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
55.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
54.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
54.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
54.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
53.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
51.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
51.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
51.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
50.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
50.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
49.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
46.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
42.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
41.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
40.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GPS1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
49.1
Number of samples
486
Samples
Sample
Description
TPM
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
105.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
102.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
96.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
94.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
86.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
79.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
77.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
77.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
73.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
70.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
67.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
64.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
62.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
59.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
54.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
53.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
51.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
51.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
48.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
47.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
47.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
46.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
41.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
40.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
38.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
32.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
32.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
26.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GPS1 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
64.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
375.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
141.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
90.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
89.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
87.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
81.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
80.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
79.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
78.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
74.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
73.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
72.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
71.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
70.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
68.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
67.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
66.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
65.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
64.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
63.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
62.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
60.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
60.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
59.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
59.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
57.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
56.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
49.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
42.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GPS1 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
45.3
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
105.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
99.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
80.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
69.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
68.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
66.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
63.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
62.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
56.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
23.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
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.
The Human Protein Atlas project is funded
