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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.
NDUFAF3 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
61.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
167.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
147.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
124.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
108.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
108.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
107.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
106.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
106.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
102.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
100.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
98.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
96.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
96.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
95.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
95.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
92.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
90.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
90.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
88.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
88.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
86.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
86.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
84.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
82.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
81.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
80.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
80.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
80.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
80.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
80.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
79.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
79.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
79.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
79.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
79.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
79.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
78.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
78.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
78.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
78.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
78.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
77.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
76.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
76.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
75.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
74.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
73.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
73.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
72.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
71.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
71.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
69.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
69.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
68.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
68.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
68.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
67.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
66.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
66.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
66.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
66.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
65.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
64.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
63.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
63.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
62.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
61.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
61.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
60.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
60.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
59.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
59.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
59.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
58.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
58.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
58.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
57.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
56.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
56.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
56.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
54.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
54.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
54.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
54.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
53.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
52.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
52.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
50.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
48.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
48.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
47.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
44.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
43.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
40.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
38.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
NDUFAF3 is potential prognostic, high expression is unfavorable 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
49.9
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
110.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
90.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
89.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
86.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
85.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
83.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
81.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
81.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
80.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
79.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
78.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
77.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
76.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
70.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
68.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
67.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
67.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
66.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
62.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
62.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
62.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
61.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
57.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
55.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
53.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
52.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
52.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
51.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
48.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
46.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
35.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
32.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
28.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
26.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
25.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
NDUFAF3 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
66.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
128.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
124.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
117.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
110.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
107.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
104.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
102.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
100.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
99.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
94.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
92.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
91.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
90.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
88.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
86.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
81.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
81.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
80.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
76.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
74.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
74.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
71.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
70.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
70.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
68.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
67.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
66.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
65.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
60.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
59.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
58.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
58.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
56.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
51.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
48.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
46.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
29.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
NDUFAF3 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
46.6
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
110.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
75.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
62.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
62.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
60.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
57.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
52.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
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
