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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.
TIMM23 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
62.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
174.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
107.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
100.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
94.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
94.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
91.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
91.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
89.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
86.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
86.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
84.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
83.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
83.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
83.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
83.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
82.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
81.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
80.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
79.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
78.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
78.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
77.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
77.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
77.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
76.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
76.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
75.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
75.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
75.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
75.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
74.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
73.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
73.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
72.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
72.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
72.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
72.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
71.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
69.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
69.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
68.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
67.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
67.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
67.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
66.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
66.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
65.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
65.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
65.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
64.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
64.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
64.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
64.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
63.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
63.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
62.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
62.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
62.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
61.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
61.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
61.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
60.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
60.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
60.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
58.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
58.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
58.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
58.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
58.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
58.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
57.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
57.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
57.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
57.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
57.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
56.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
56.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
56.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
54.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
53.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
52.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
51.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
50.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
49.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
48.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
46.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
42.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
42.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 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.
TIMM23 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
60.8
Number of samples
486
Samples
Sample
Description
TPM
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
179.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
142.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
107.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
98.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
97.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
95.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
94.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
92.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
90.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
90.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
84.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
84.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
84.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
83.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
82.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
81.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
80.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
79.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
79.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
78.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
78.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
77.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
77.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
76.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
76.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
76.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
76.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
75.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
74.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
72.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
71.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
70.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
70.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
70.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
69.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
68.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
68.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
66.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
66.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
66.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
63.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
63.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
62.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
61.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
61.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
61.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
60.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
59.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
59.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
55.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
53.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
51.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
51.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
39.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
TIMM23 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
62.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
109.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
100.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
94.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
90.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
88.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
86.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
86.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
85.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
84.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
82.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
77.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
75.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
75.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
74.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
73.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
70.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
69.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
69.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
69.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
67.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
66.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
66.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
65.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
64.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
64.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
63.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
63.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
55.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
54.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
52.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
35.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.6
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.
TIMM23 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
57.3
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
134.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
88.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
86.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
86.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
83.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
82.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
79.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
77.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
76.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
75.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
73.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
73.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
72.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
70.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
65.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
60.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
60.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
59.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
56.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
55.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
52.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
51.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
47.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
44.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
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Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
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Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
