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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.
RAD23B 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
62.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
131.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
108.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
104.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
103.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
99.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
98.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
97.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
96.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
95.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
95.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
95.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
94.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
94.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
93.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
92.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
91.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
91.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
90.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
90.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
85.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
83.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
82.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
82.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
81.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
81.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
80.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
80.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
80.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
78.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
78.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
77.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
77.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
77.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
76.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
76.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
75.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
75.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
74.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
74.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
73.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
73.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
72.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
71.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
70.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
70.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
70.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
70.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
69.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
69.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
69.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
68.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
67.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
66.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
66.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
66.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
66.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
65.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
65.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
65.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
65.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
65.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
65.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
64.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
64.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
64.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
63.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
62.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
62.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
61.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
61.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
61.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
60.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
60.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
60.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
59.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
59.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
58.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
58.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
58.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
58.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
58.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
57.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
56.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
56.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
56.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
55.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
53.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
53.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
52.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
52.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
50.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
49.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
49.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
47.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
47.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
46.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
44.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
44.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
43.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
41.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
RAD23B 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
176.2
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
329.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
321.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
310.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
309.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
305.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
295.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
294.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
286.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
286.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
285.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
281.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
280.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
277.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
272.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
271.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
270.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
268.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
267.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
266.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
260.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
259.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
259.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
254.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
251.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
249.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
248.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
248.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
247.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
246.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
245.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
245.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
243.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
242.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
240.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
239.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
239.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
238.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
237.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
234.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
234.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
233.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
231.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
231.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
231.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
230.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
230.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
230.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
229.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
229.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
229.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
229.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
228.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
227.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
227.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
226.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
226.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
225.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
225.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
223.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
223.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
222.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
222.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
222.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
222.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
221.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
221.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
220.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
220.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
219.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
219.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
219.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
219.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
217.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
216.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
216.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
215.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
214.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
214.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
214.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
214.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
214.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
213.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
213.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
213.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
213.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
212.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
212.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
212.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
211.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
211.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
211.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
211.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
211.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
210.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
210.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
209.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
209.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
209.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
209.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
207.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
206.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
206.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
206.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
206.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
205.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
205.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
205.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
204.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
204.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
204.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
203.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
203.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
203.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
202.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
202.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
201.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
201.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
201.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
201.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
201.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
201.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
200.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
200.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
200.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
199.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
199.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
199.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
197.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
197.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
196.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
196.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
196.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
196.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
195.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
195.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
194.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
194.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
194.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
194.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
194.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
193.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
193.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
193.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
193.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
193.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
193.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
193.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
192.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
192.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
191.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
191.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
191.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
190.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
190.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
190.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
190.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
190.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
190.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
190.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
189.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
189.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
189.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
189.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
189.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
188.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
188.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
187.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
187.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
187.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
187.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
187.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
187.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
187.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
187.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
187.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
186.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
186.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
186.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
186.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
185.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
185.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
184.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
184.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
184.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
184.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
184.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
184.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
184.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
184.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
184.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
183.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
183.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
183.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
182.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
182.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
182.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
181.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
181.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
181.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
181.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
181.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
181.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
181.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
181.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
181.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
181.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
180.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
180.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
180.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
179.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
179.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
179.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
179.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
178.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
178.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
177.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
177.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
176.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
176.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
176.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
176.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
176.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
176.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
175.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
175.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
175.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
175.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
174.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
174.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
174.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
174.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
173.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
173.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
173.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
173.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
173.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
173.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
173.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
173.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
173.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
173.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
173.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
172.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
172.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
172.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
172.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
172.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
172.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
171.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
171.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
171.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
171.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
170.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
170.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
169.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
169.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
169.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
169.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
169.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
169.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
168.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
168.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
168.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
168.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
168.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
167.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
167.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
167.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
167.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
166.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
166.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
166.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
166.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
166.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
166.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
166.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
166.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
166.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
166.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
166.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
165.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
165.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
165.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
165.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
164.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
164.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
164.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
164.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
164.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
164.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
164.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
163.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
163.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
163.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
163.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
163.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
162.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
162.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
162.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
162.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
162.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
162.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
161.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
161.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
161.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
161.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
161.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
161.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
161.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
160.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
160.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
160.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
160.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
160.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
160.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
160.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
159.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
159.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
159.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
159.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
158.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
158.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
158.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
157.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
157.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
156.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
156.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
156.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
156.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
155.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
155.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
155.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
154.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
154.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
153.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
153.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
153.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
153.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
153.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
153.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
153.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
152.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
151.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
151.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
151.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
151.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
151.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
151.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
150.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
150.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
150.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
150.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
150.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
150.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
150.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
150.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
150.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
149.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
149.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
149.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
149.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
149.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
148.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
148.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
147.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
147.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
146.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
146.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
146.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
145.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
145.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
144.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
144.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
144.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
143.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
143.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
143.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
143.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
142.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
142.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
142.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
142.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
142.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
141.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
141.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
141.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
140.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
140.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
140.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
140.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
140.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
140.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
140.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
139.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
139.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
139.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
139.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
139.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
138.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
138.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
137.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
137.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
137.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
137.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
137.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
136.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
136.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
136.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
136.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
135.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
135.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
134.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
134.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
133.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
133.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
133.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
133.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
132.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
132.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
132.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
132.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
131.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
131.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
131.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
131.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
131.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
130.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
129.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
129.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
128.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
128.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
128.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
127.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
127.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
127.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
127.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
127.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
127.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
126.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
125.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
125.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
124.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
124.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
123.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
123.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
122.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
122.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
121.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
121.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
121.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
121.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
121.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
120.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
120.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
119.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
119.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
118.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
118.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
118.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
117.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
117.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
117.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
116.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
116.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
116.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
116.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
114.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
114.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
113.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
113.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
111.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
111.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
109.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
108.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
108.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
106.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
102.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
101.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
98.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
98.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
90.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
87.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.7
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.
RAD23B 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
65.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
117.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
112.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
104.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
93.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
93.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
92.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
88.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
87.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
86.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
86.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
86.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
85.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
85.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
85.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
85.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
83.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
82.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
81.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
79.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
78.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
75.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
73.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
72.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
70.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
68.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
65.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
63.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
63.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
63.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
62.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
61.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
59.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
58.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
57.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
54.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
54.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
48.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
44.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.2
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.
RAD23B 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
155.4
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
271.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
261.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
257.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
256.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
243.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
243.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
236.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
224.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
224.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
219.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
218.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
217.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
217.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
210.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
210.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
210.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
209.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
206.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
204.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
204.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
204.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
202.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
200.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
198.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
198.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
196.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
194.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
192.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
189.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
189.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
189.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
188.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
186.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
186.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
183.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
183.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
182.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
182.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
182.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
182.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
181.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
180.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
180.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
180.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
179.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
179.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
179.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
179.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
178.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
178.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
177.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
177.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
177.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
176.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
176.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
175.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
175.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
173.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
173.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
172.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
171.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
170.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
170.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
170.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
170.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
169.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
169.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
169.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
169.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
168.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
167.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
167.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
167.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
166.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
166.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
164.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
163.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
163.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
163.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
162.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
162.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
161.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
161.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
160.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
159.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
159.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
158.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
158.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
157.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
157.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
157.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
156.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
156.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
156.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
155.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
155.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
154.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
153.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
153.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
153.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
153.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
152.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
152.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
152.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
151.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
151.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
151.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
151.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
150.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
150.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
150.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
149.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
149.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
149.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
149.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
149.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
149.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
149.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
149.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
148.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
148.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
147.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
146.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
146.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
146.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
146.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
145.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
145.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
144.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
144.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
144.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
141.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
141.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
141.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
140.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
140.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
139.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
139.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
139.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
139.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
138.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
138.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
137.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
135.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
134.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
133.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
133.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
133.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
132.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
132.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
131.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
131.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
131.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
130.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
129.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
129.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
128.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
128.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
127.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
127.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
127.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
127.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
127.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
125.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
124.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
124.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
124.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
122.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
121.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
121.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
121.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
121.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
120.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
120.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
119.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
119.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
119.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
118.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
118.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
117.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
117.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
115.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
115.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
115.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
114.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
114.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
113.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
113.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
113.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
112.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
110.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
105.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
105.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
104.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
104.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
103.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
101.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
99.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
98.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
96.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
95.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
94.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
90.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
88.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
88.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
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Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
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Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
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Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
