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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.
RNF10 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
63.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
109.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
107.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
101.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
100.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
96.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
96.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
95.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
95.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
94.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
93.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
92.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
91.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
90.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
89.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
87.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
87.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
86.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
86.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
85.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
84.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
83.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
82.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
81.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
81.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
81.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
81.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
81.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
81.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
81.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
79.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
78.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
78.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
78.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
77.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
77.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
77.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
77.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
77.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
76.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
75.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
74.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
74.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
73.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
73.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
72.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
72.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
72.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
71.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
71.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
71.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
70.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
70.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
70.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
70.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
70.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
69.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
69.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
68.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
68.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
68.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
67.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
65.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
65.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
64.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
63.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
62.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
62.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
62.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
62.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
60.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
60.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
60.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
60.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
59.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
59.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
59.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
58.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
58.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
57.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
56.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
55.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
55.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
55.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
54.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
54.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
54.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
52.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
52.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
52.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
50.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
49.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
48.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
48.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
43.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
43.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
43.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
42.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
RNF10 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
60.1
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
101.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
94.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
91.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
91.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
91.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
90.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
88.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
86.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
86.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
86.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
85.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
83.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
83.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
81.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
81.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
80.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
79.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
79.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
79.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
79.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
78.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
78.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
77.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
76.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
75.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
75.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
75.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
74.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
74.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
74.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
73.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
73.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
73.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
72.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
72.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
72.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
72.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
72.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
71.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
69.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
68.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
68.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
67.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
67.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
67.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
67.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
66.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
66.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
66.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
65.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
64.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
64.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
64.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
63.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
63.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
63.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
63.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
62.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
62.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
61.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
60.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
59.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
58.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
57.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
56.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
55.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
55.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
53.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
52.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
51.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
50.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
49.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
RNF10 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
64.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
112.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
111.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
106.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
102.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
95.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
91.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
90.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
85.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
84.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
81.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
81.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
78.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
77.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
77.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
74.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
73.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
72.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
71.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
71.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
70.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
69.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
68.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
67.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
66.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
64.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
62.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
62.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
61.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
61.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
59.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
58.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
55.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
50.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
42.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
35.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.3
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.
RNF10 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
55.6
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
98.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
80.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
77.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
76.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
76.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
75.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
73.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
72.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
69.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
69.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
65.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
64.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
64.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
62.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
60.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
58.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
54.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
49.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
48.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-9.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_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
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
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
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
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
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
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
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
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
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
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
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
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
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
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
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
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
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
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
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
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
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.