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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.
G3BP2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
51.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
123.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
118.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
115.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
109.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
103.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
90.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
88.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
86.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
80.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
80.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
79.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
78.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
78.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
78.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
77.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
77.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
76.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
75.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
73.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
73.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
73.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
72.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
72.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
70.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
70.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
69.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
69.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
69.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
68.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
68.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
66.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
66.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
65.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
62.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
62.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
61.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
60.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
58.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
57.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
57.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
55.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
55.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
53.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
52.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
51.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
51.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
50.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
50.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
49.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
47.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
46.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
45.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
45.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
41.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
40.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
40.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
39.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
38.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
36.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
36.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
35.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
34.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
30.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
29.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
24.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
G3BP2 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
71.9
Number of samples
486
Samples
Sample
Description
TPM
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
116.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
111.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
110.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
107.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
107.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
107.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
106.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
106.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
106.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
105.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
105.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
105.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
103.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
102.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
102.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
101.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
101.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
101.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
100.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
99.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
98.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
98.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
96.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
96.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
94.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
94.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
94.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
94.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
94.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
94.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
94.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
93.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
93.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
93.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
93.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
93.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
92.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
92.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
92.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
92.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
92.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
91.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
91.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
91.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
90.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
89.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
89.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
89.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
89.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
89.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
88.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
88.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
88.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
88.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
88.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
87.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
86.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
86.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
86.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
86.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
85.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
85.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
85.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
84.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
84.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
83.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
83.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
83.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
83.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
83.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
83.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
83.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
82.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
81.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
80.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
80.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
80.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
80.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
80.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
79.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
79.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
79.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
79.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
78.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
78.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
78.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
78.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
78.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
78.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
78.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
78.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
78.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
77.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
77.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
77.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
77.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
77.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
76.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
76.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
76.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
76.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
76.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
76.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
76.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
76.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
75.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
75.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
74.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
74.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
74.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
74.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
74.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
74.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
74.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
73.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
73.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
73.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
73.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
73.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
72.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
72.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
72.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
72.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
72.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
71.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
70.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
70.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
70.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
70.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
70.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
70.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
69.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
69.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
69.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
68.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
68.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
68.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
67.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
66.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
66.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
65.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
65.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
65.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
65.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
64.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
63.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
63.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
62.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
62.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
62.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
62.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
60.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
59.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
58.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
56.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
55.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
52.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
49.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.9
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.
G3BP2 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
50.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
145.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
105.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
104.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
90.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
79.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
71.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
70.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
69.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
68.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
68.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
67.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
66.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
64.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
62.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
57.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
53.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
51.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
41.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
23.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
G3BP2 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
64.8
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
153.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
129.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
106.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
101.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
93.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
92.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
91.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
89.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
88.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
88.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
88.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
86.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
86.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
84.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
82.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
81.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
80.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
80.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
77.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
76.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
75.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
74.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
74.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
74.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
73.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
73.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
73.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
73.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
72.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
72.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
72.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
72.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
71.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
71.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
70.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
67.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
66.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
65.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
65.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
65.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
64.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
62.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
62.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
62.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
60.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
58.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
58.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
58.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
56.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
56.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
49.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
46.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
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Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
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Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
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Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
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Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
