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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.
CYP51A1 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
61.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
331.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
178.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
166.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
155.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
145.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
140.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
126.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
125.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
122.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
118.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
114.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
113.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
109.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
109.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
107.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
106.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
104.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
104.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
103.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
103.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
101.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
101.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
100.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
98.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
97.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
96.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
93.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
92.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
91.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
91.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
90.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
90.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
90.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
89.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
89.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
87.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
87.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
87.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
86.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
85.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
85.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
81.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
80.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
80.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
76.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
75.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
75.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
75.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
74.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
73.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
71.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
71.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
71.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
69.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
68.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
68.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
68.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
67.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
67.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
67.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
66.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
66.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
65.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
64.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
63.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
62.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
61.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
60.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
60.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
58.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
58.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
57.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
57.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
57.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
56.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
55.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
54.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
54.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
53.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
53.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
51.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
50.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
50.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
50.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
48.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
46.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
42.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
41.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
40.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
40.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
40.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
36.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
36.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
32.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
31.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
22.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 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.
CYP51A1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
85.0
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
255.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
238.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
235.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
233.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
210.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
206.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
198.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
189.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
180.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
176.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
175.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
173.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
172.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
170.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
169.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
160.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
158.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
158.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
157.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
157.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
156.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
155.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
155.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
151.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
151.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
150.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
150.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
150.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
149.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
148.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
148.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
147.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
147.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
146.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
145.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
144.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
143.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
142.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
141.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
141.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
140.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
139.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
139.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
138.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
138.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
138.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
137.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
136.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
135.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
134.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
132.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
132.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
131.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
131.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
130.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
130.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
130.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
130.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
129.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
129.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
127.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
127.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
125.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
125.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
125.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
125.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
125.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
124.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
124.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
123.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
123.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
123.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
122.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
122.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
121.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
120.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
120.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
120.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
120.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
119.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
119.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
119.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
119.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
119.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
118.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
118.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
116.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
116.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
115.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
115.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
114.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
114.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
113.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
112.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
111.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
111.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
111.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
110.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
110.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
110.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
110.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
110.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
109.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
109.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
108.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
108.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
108.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
108.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
107.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
107.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
106.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
106.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
106.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
105.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
105.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
105.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
104.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
104.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
104.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
104.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
102.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
102.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
101.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
101.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
101.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
101.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
101.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
100.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
100.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
100.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
99.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
99.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
99.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
99.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
98.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
98.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
98.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
98.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
97.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
97.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
97.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
97.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
96.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
96.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
96.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
95.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
95.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
95.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
95.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
94.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
94.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
94.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
94.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
94.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
92.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
92.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
92.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
92.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
92.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
92.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
91.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
91.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
91.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
90.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
88.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
88.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
88.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
87.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
87.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
87.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
86.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
86.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
86.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
85.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
85.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
85.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
85.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
84.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
82.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
82.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
81.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
81.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
81.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
81.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
80.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
80.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
80.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
79.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
79.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
78.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
78.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
77.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
76.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
76.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
75.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
75.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
74.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
73.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
72.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
72.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
72.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
71.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
70.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
69.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
69.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
68.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
67.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
67.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
66.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
65.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
64.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
63.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
62.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
62.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
62.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
60.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
56.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
52.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
47.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
35.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
28.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
25.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
24.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
23.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
CYP51A1 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
58.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
170.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
129.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
129.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
121.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
111.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
108.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
105.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
93.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
92.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
89.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
89.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
85.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
76.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
74.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
72.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
70.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
70.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
67.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
66.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
65.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
61.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
61.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
59.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
58.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
50.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
48.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
41.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
41.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CYP51A1 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
68.2
Number of samples
207
Samples
Sample
Description
TPM
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
227.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
185.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
167.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
166.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
162.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
148.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
146.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
142.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
140.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
135.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
130.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
130.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
125.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
124.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
119.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
117.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
114.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
112.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
112.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
111.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
109.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
107.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
105.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
104.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
100.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
98.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
98.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
98.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
97.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
96.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
95.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
92.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
90.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
90.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
90.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
88.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
87.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
83.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
83.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
82.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
82.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
81.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
80.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
80.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
79.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
79.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
78.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
78.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
78.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
76.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
76.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
73.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
72.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
72.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
71.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
71.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
69.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
69.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
67.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
67.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
67.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
65.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
63.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
62.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
60.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
57.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
56.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
51.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
13.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
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
