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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.
FKBP9 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
68.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
261.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
158.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
149.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
138.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
132.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
131.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
128.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
126.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
126.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
119.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
119.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
118.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
118.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
116.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
115.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
113.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
112.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
111.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
111.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
111.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
109.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
107.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
105.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
104.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
103.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
103.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
103.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
100.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
100.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
99.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
99.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
97.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
96.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
95.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
94.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
94.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
92.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
92.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
92.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
91.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
91.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
90.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
89.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
89.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
88.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
88.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
88.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
88.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
87.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
85.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
85.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
85.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
84.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
84.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
83.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
83.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
83.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
83.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
81.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
81.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
80.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
80.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
79.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
78.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
78.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
76.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
76.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
74.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
74.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
73.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
73.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
73.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
72.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
72.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
72.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
72.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
70.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
70.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
70.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
69.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
69.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
69.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
69.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
69.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
68.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
67.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
65.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
64.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
64.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
63.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
63.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
63.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
62.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
62.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
62.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
62.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
61.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
60.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
59.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
58.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
57.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
55.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
55.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
54.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
54.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
53.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
53.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
53.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
52.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
51.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
51.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
51.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
50.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
49.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
46.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
41.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
37.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
34.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
FKBP9 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
84.9
Number of samples
486
Samples
Sample
Description
TPM
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
173.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
170.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
168.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
162.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
161.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
154.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
153.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
151.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
151.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
150.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
149.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
147.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
146.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
145.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
143.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
142.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
142.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
141.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
141.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
140.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
139.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
139.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
139.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
139.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
138.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
137.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
136.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
134.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
133.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
133.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
133.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
133.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
132.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
131.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
131.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
131.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
131.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
130.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
128.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
128.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
127.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
127.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
126.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
125.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
124.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
123.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
122.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
122.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
122.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
121.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
120.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
120.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
119.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
119.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
118.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
118.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
118.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
117.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
117.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
117.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
117.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
117.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
117.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
116.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
116.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
116.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
116.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
115.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
114.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
114.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
113.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
113.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
113.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
112.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
112.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
112.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
112.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
111.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
111.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
111.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
111.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
111.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
111.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
111.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
109.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
109.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
109.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
108.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
108.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
108.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
107.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
107.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
107.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
106.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
106.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
105.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
105.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
105.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
105.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
104.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
104.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
104.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
104.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
104.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
104.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
103.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
103.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
103.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
103.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
103.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
103.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
103.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
103.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
103.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
103.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
102.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
102.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
101.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
101.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
100.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
100.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
100.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
99.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
99.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
99.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
99.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
99.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
98.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
98.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
98.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
98.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
98.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
97.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
97.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
97.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
96.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
96.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
96.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
95.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
95.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
95.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
95.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
95.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
94.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
94.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
94.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
93.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
93.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
93.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
93.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
93.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
93.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
92.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
92.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
92.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
92.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
92.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
91.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
91.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
91.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
91.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
91.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
90.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
90.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
90.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
90.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
89.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
89.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
88.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
88.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
87.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
87.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
87.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
87.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
87.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
86.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
85.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
85.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
85.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
85.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
85.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
84.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
83.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
83.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
83.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
83.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
82.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
82.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
81.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
81.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
81.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
81.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
80.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
79.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
79.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
79.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
79.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
78.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
78.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
78.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
78.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
78.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
77.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
77.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
76.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
76.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
75.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
75.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
75.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
74.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
74.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
74.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
73.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
73.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
73.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
72.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
71.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
71.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
70.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
69.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
69.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
69.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
69.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
68.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
68.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
67.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
67.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
67.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
67.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
67.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
66.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
65.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
65.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
64.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
63.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
62.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
61.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
60.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
60.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
59.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
58.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
57.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
55.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
FKBP9 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
71.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
140.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
139.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
131.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
127.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
119.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
118.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
118.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
116.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
113.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
112.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
106.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
106.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
104.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
103.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
99.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
98.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
96.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
95.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
94.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
92.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
88.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
88.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
85.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
82.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
81.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
80.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
76.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
75.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
74.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
74.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
73.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
72.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
71.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
70.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
65.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
64.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
62.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
60.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
57.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
56.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
56.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
53.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
51.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
45.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
31.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FKBP9 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
83.1
Number of samples
207
Samples
Sample
Description
TPM
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
209.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
199.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
195.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
183.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
178.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
169.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
153.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
151.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
145.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
142.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
141.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
140.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
137.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
132.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
131.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
128.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
127.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
126.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
125.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
125.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
124.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
122.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
118.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
117.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
115.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
115.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
114.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
114.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
114.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
112.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
112.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
112.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
112.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
112.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
110.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
110.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
110.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
109.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
108.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
108.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
107.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
107.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
105.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
103.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
103.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
102.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
101.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
101.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
100.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
100.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
100.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
100.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
99.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
98.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
97.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
97.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
96.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
95.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
95.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
95.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
94.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
94.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
93.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
92.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
92.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
91.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
91.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
91.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
89.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
88.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
88.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
87.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
87.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
86.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
86.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
85.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
84.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
84.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
84.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
83.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
82.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
82.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
81.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
81.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
81.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
81.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
81.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
80.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
79.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
79.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
78.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
78.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
78.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
78.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
76.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
75.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
75.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
74.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
74.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
74.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
73.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
73.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
71.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
68.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
67.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
65.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
65.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
64.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
63.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
63.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
62.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
60.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
55.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
53.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
53.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
51.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.3
b2400046-1d25-429d-a821-6040a6
Tumor
1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
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
