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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.
C6orf62 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
72.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
206.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
122.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
116.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
115.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
114.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
113.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
112.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
112.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
112.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
110.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
110.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
110.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
108.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
107.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
107.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
106.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
106.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
106.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
105.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
104.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
104.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
104.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
103.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
102.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
101.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
100.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
99.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
99.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
99.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
98.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
98.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
96.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
96.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
95.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
95.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
93.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
92.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
92.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
91.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
91.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
91.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
90.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
90.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
89.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
89.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
89.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
88.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
87.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
86.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
86.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
85.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
85.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
84.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
83.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
82.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
82.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
82.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
81.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
81.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
81.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
81.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
81.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
80.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
80.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
80.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
80.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
80.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
79.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
79.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
79.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
78.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
78.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
77.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
76.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
76.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
76.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
75.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
74.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
74.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
73.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
73.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
73.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
73.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
73.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
72.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
72.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
72.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
72.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
71.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
71.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
71.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
71.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
71.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
70.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
70.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
70.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
70.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
70.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
69.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
68.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
68.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
67.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
66.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
66.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
64.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
64.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
64.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
63.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
63.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
62.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
62.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
62.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
62.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
61.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
61.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
60.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
60.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
60.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
59.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
59.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
59.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
58.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
58.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
57.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
57.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
56.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
56.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
56.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
55.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
55.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
54.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
51.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
50.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
50.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
50.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
49.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
45.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
42.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
39.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 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.
C6orf62 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
104.7
Number of samples
486
Samples
Sample
Description
TPM
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
262.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
193.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
190.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
181.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
179.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
171.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
166.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
166.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
162.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
158.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
158.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
156.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
155.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
154.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
154.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
153.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
152.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
152.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
152.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
150.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
148.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
148.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
145.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
145.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
144.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
144.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
143.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
143.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
142.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
141.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
140.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
140.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
140.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
139.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
138.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
138.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
137.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
136.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
135.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
135.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
135.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
135.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
134.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
134.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
134.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
133.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
133.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
132.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
132.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
132.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
132.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
131.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
131.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
131.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
131.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
131.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
131.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
130.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
130.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
129.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
129.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
129.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
129.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
129.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
128.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
128.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
128.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
128.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
128.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
127.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
127.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
127.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
127.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
127.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
127.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
127.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
127.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
127.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
126.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
126.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
125.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
125.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
125.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
125.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
125.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
125.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
125.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
125.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
125.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
125.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
125.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
125.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
125.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
124.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
124.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
124.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
124.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
124.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
124.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
123.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
123.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
123.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
123.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
122.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
122.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
122.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
122.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
122.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
122.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
122.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
121.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
121.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
121.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
121.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
120.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
120.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
120.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
120.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
120.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
120.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
120.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
120.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
120.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
120.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
120.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
119.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
119.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
119.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
119.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
118.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
118.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
118.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
117.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
117.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
117.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
117.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
117.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
117.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
116.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
116.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
116.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
116.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
116.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
116.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
115.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
115.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
115.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
115.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
115.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
114.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
114.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
114.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
113.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
113.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
113.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
113.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
113.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
112.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
112.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
112.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
112.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
112.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
111.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
111.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
111.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
111.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
111.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
111.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
110.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
110.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
110.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
109.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
109.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
109.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
109.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
109.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
109.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
109.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
108.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
108.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
108.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
108.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
108.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
107.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
107.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
107.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
107.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
107.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
107.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
106.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
106.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
106.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
106.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
106.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
106.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
106.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
105.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
105.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
105.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
105.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
105.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
105.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
105.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
105.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
105.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
104.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
104.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
104.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
103.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
103.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
103.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
103.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
103.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
103.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
103.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
103.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
103.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
103.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
103.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
102.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
102.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
102.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
102.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
102.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
102.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
102.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
102.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
102.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
102.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
102.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
101.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
101.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
101.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
101.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
101.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
101.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
101.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
101.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
101.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
100.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
100.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
100.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
100.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
100.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
100.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
100.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
100.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
100.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
99.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
99.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
99.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
99.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
99.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
99.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
99.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
99.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
98.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
98.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
98.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
98.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
98.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
97.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
97.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
97.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
97.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
97.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
97.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
96.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
96.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
96.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
96.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
96.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
96.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
96.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
96.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
96.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
96.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
95.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
95.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
95.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
95.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
95.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
95.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
95.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
95.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
95.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
94.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
94.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
94.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
94.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
94.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
94.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
94.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
94.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
94.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
93.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
93.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
93.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
93.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
93.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
93.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
93.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
92.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
92.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
92.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
92.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
91.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
91.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
91.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
91.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
91.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
91.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
90.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
90.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
90.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
90.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
90.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
90.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
90.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
90.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
90.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
89.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
89.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
89.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
88.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
88.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
88.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
88.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
88.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
88.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
87.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
87.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
86.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
86.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
86.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
86.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
86.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
85.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
85.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
85.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
85.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
84.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
84.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
84.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
83.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
83.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
83.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
83.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
83.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
82.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
82.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
82.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
81.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
81.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
81.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
81.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
81.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
80.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
80.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
80.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
79.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
79.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
79.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
79.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
78.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
78.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
77.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
77.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
77.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
76.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
76.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
75.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
75.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
73.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
72.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
70.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
69.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
67.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
60.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
59.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
39.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.8
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.
C6orf62 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
74.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
135.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
126.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
116.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
114.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
113.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
112.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
110.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
108.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
106.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
102.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
100.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
99.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
94.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
93.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
93.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
91.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
90.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
86.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
86.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
84.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
84.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
82.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
82.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
81.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
80.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
78.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
74.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
73.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
70.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
70.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
68.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
68.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
67.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
67.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
65.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
64.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
64.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
63.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
63.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
62.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
55.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
52.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
51.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
49.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
43.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.3
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.
C6orf62 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
100.6
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
172.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
171.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
159.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
153.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
151.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
146.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
146.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
146.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
143.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
143.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
142.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
142.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
142.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
141.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
140.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
139.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
138.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
133.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
133.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
133.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
130.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
128.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
127.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
126.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
126.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
126.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
125.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
125.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
124.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
124.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
123.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
123.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
123.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
122.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
122.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
122.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
120.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
119.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
119.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
119.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
119.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
118.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
118.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
118.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
118.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
117.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
117.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
117.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
117.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
117.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
115.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
115.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
115.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
115.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
114.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
114.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
114.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
113.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
112.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
111.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
110.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
110.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
110.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
109.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
109.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
109.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
109.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
109.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
108.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
108.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
107.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
106.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
106.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
106.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
106.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
105.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
104.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
104.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
104.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
103.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
102.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
102.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
102.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
102.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
102.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
101.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
101.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
101.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
100.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
100.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
100.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
100.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
100.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
100.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
99.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
99.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
98.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
98.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
98.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
97.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
97.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
97.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
97.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
97.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
97.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
97.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
97.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
96.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
96.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
96.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
96.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
95.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
95.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
95.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
93.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
93.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
93.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
93.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
93.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
92.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
91.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
91.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
91.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
91.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
90.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
90.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
89.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
89.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
89.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
89.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
89.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
89.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
88.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
88.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
88.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
88.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
87.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
86.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
85.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
85.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
84.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
84.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
83.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
83.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
82.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
81.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
80.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
80.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
80.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
78.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
78.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
78.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
78.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
77.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
76.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
74.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
74.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
72.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
72.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
71.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
69.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
66.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
65.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
60.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
59.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
