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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.
PPIF 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
71.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
239.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
137.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
127.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
127.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
125.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
121.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
118.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
117.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
115.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
112.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
112.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
111.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
111.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
110.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
109.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
107.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
106.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
103.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
102.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
102.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
102.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
101.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
100.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
100.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
100.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
98.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
97.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
96.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
96.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
95.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
95.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
95.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
94.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
94.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
94.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
94.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
94.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
93.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
93.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
93.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
92.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
92.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
91.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
90.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
90.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
90.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
89.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
89.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
89.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
88.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
87.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
87.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
86.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
85.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
85.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
85.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
84.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
84.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
83.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
83.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
82.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
82.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
82.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
82.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
81.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
80.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
80.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
80.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
79.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
78.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
78.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
76.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
76.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
76.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
75.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
75.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
75.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
74.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
74.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
74.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
74.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
74.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
73.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
73.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
73.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
72.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
72.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
71.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
71.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
71.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
70.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
70.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
70.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
69.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
69.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
69.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
68.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
68.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
68.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
68.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
67.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
67.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
67.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
66.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
66.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
66.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
66.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
65.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
65.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
64.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
62.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
62.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
62.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
62.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
61.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
61.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
61.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
59.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
59.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
58.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
57.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
56.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
56.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
55.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
54.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
54.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
53.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
52.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
52.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
52.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
51.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
49.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
49.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
48.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
42.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
PPIF 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
70.7
Number of samples
486
Samples
Sample
Description
TPM
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
537.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
424.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
368.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
297.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
292.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
202.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
193.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
186.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
176.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
169.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
161.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
157.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
152.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
150.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
149.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
148.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
145.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
141.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
134.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
127.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
127.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
123.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
123.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
123.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
122.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
121.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
120.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
119.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
119.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
119.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
119.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
118.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
117.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
116.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
116.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
115.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
114.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
113.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
111.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
109.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
108.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
107.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
106.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
106.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
106.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
104.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
104.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
103.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
103.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
101.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
100.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
100.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
99.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
99.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
99.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
99.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
98.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
96.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
95.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
95.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
94.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
93.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
92.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
91.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
91.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
90.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
90.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
89.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
88.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
88.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
87.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
86.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
85.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
85.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
84.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
84.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
83.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
83.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
82.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
82.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
82.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
81.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
80.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
79.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
79.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
78.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
78.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
78.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
77.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
77.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
77.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
76.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
76.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
76.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
76.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
75.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
75.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
75.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
75.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
74.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
74.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
73.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
73.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
73.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
72.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
70.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
70.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
70.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
66.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
65.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
64.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
63.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
63.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
63.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
62.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
62.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
62.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
61.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
60.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
60.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
60.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
57.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
56.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
53.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
52.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
51.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
51.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
50.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
50.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
47.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
42.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
PPIF 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
70.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
550.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
126.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
109.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
107.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
106.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
105.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
103.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
98.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
98.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
93.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
93.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
91.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
86.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
84.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
84.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
83.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
82.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
81.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
81.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
77.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
77.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
76.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
74.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
68.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
68.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
67.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
66.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
64.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
61.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
61.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
43.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
42.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
PPIF 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
59.8
Number of samples
207
Samples
Sample
Description
TPM
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
439.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
210.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
159.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
157.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
136.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
127.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
119.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
112.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
102.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
100.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
97.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
96.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
91.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
88.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
85.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
83.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
82.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
81.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
79.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
76.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
75.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
74.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
71.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
70.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
66.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
66.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
66.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
65.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
65.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
61.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
57.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
55.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
54.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
47.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
46.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
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.
The Human Protein Atlas project is funded
