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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.
GTF2A2 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
68.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
373.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
277.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
218.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
199.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
178.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
174.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
163.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
150.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
141.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
141.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
132.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
131.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
128.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
126.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
125.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
117.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
113.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
112.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
109.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
108.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
106.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
97.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
97.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
96.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
94.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
92.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
91.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
91.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
91.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
90.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
90.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
90.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
88.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
88.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
87.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
86.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
85.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
84.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
83.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
83.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
83.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
82.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
82.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
82.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
82.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
79.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
79.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
78.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
78.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
76.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
76.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
76.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
75.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
73.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
73.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
72.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
71.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
71.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
70.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
69.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
69.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
69.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
69.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
68.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
67.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
66.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
65.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
65.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
64.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
63.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
63.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
62.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
61.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
61.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
60.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
60.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
59.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
59.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
58.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
58.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
57.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
57.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
55.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
55.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
54.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
53.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
51.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
51.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
51.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
48.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
48.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
45.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
44.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
39.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
32.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
GTF2A2 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
53.3
Number of samples
486
Samples
Sample
Description
TPM
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
214.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
162.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
162.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
154.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
145.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
140.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
134.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
127.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
126.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
124.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
123.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
121.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
120.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
118.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
117.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
116.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
113.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
107.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
103.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
102.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
101.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
101.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
99.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
98.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
94.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
94.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
89.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
89.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
86.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
86.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
84.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
84.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
84.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
83.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
83.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
76.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
75.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
74.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
74.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
72.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
71.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
70.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
69.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
69.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
67.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
64.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
62.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
62.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
62.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
59.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
58.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
58.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
55.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
54.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
52.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
50.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
47.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
40.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
36.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
35.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
32.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
31.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
30.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
27.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
27.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
25.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
23.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
19.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
18.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
14.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
GTF2A2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
57.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
119.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
110.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
105.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
104.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
102.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
98.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
94.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
87.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
86.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
85.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
81.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
81.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
79.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
75.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
75.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
71.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
69.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
65.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
65.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
63.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
62.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
62.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
59.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
57.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
47.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
45.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
40.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
23.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
22.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GTF2A2 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
41.7
Number of samples
207
Samples
Sample
Description
TPM
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
95.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
72.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
68.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
64.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
59.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
47.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
36.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
27.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
25.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
