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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.
STARD7 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
62.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
149.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
125.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
117.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
112.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
111.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
99.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
98.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
95.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
95.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
95.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
93.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
92.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
90.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
89.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
89.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
87.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
85.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
84.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
84.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
83.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
82.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
81.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
81.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
80.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
80.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
80.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
78.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
78.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
78.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
77.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
77.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
77.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
76.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
76.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
75.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
75.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
74.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
73.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
73.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
72.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
72.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
71.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
71.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
71.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
71.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
71.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
70.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
70.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
70.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
67.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
67.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
67.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
66.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
66.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
66.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
66.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
65.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
64.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
64.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
63.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
63.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
62.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
62.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
62.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
61.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
61.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
61.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
61.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
60.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
58.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
58.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
58.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
58.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
57.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
56.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
56.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
55.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
53.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
52.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
51.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
51.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
51.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
50.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
50.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
46.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
43.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
37.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
33.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
STARD7 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
83.3
Number of samples
486
Samples
Sample
Description
TPM
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
161.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
151.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
147.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
144.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
142.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
140.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
132.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
128.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
128.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
126.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
125.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
124.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
124.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
122.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
121.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
121.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
121.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
120.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
119.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
119.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
118.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
118.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
118.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
118.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
118.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
117.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
117.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
116.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
115.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
115.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
114.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
114.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
113.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
112.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
112.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
112.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
111.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
111.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
111.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
110.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
110.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
109.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
109.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
109.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
109.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
109.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
107.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
107.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
106.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
106.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
106.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
105.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
105.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
105.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
105.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
105.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
104.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
104.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
104.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
103.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
103.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
102.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
102.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
101.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
101.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
101.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
101.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
101.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
101.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
100.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
100.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
100.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
100.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
100.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
99.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
99.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
99.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
99.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
99.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
99.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
98.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
98.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
98.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
97.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
97.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
96.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
95.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
95.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
95.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
95.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
95.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
95.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
95.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
95.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
94.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
94.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
94.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
94.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
94.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
93.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
93.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
92.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
92.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
92.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
92.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
92.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
92.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
92.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
92.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
92.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
92.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
91.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
91.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
91.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
91.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
91.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
91.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
91.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
90.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
90.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
90.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
90.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
89.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
89.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
89.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
89.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
88.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
88.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
88.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
88.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
88.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
88.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
88.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
88.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
88.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
88.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
88.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
87.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
87.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
87.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
87.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
87.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
87.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
87.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
87.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
86.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
86.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
86.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
85.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
85.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
85.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
85.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
85.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
84.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
84.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
83.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
83.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
83.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
82.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
82.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
82.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
81.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
81.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
81.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
81.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
81.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
81.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
81.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
80.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
80.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
80.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
80.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
80.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
80.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
80.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
80.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
80.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
79.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
79.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
79.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
79.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
79.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
78.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
78.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
78.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
78.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
78.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
77.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
77.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
77.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
76.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
76.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
76.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
76.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
75.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
75.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
75.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
75.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
74.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
74.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
73.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
73.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
73.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
73.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
73.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
72.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
72.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
72.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
71.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
70.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
70.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
70.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
70.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
69.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
69.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
68.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
68.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
67.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
67.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
67.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
67.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
66.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
66.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
65.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
64.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
64.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
64.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
62.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
62.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
62.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
61.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
61.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
60.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
53.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
53.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
45.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
STARD7 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
63.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
104.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
94.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
94.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
93.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
90.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
89.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
88.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
87.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
86.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
85.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
83.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
80.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
76.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
75.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
71.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
67.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
67.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
66.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
65.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
65.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
63.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
63.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
63.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
61.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
60.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
59.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
59.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
58.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
57.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
57.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
55.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
STARD7 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
73.7
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
138.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
127.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
125.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
123.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
118.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
115.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
102.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
101.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
101.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
100.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
99.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
97.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
97.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
96.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
95.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
95.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
94.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
93.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
93.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
92.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
91.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
91.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
91.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
90.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
90.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
90.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
89.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
88.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
88.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
88.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
87.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
86.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
86.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
85.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
85.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
84.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
84.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
83.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
83.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
82.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
81.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
81.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
80.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
80.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
80.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
80.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
79.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
78.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
78.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
78.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
78.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
77.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
77.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
76.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
76.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
76.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
76.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
75.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
75.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
74.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
73.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
72.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
72.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
72.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
72.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
71.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
71.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
71.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
70.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
69.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
69.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
69.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
69.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
63.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
62.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
62.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
60.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
59.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
44.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.4
b2400046-1d25-429d-a821-6040a6
Tumor
-1.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-2.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-2.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
