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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.
PPP1CC 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
85.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
260.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
185.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
162.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
156.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
155.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
147.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
144.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
134.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
132.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
129.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
129.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
127.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
126.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
126.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
123.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
123.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
123.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
122.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
121.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
119.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
118.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
117.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
117.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
116.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
115.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
115.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
112.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
111.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
110.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
110.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
108.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
108.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
108.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
107.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
107.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
106.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
105.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
105.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
104.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
103.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
103.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
103.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
102.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
102.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
102.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
102.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
102.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
101.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
100.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
100.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
100.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
99.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
99.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
99.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
98.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
97.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
97.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
97.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
95.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
95.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
95.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
95.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
95.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
95.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
94.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
94.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
93.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
93.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
93.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
93.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
92.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
92.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
92.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
92.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
91.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
91.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
91.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
90.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
90.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
90.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
90.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
90.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
90.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
89.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
89.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
89.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
89.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
89.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
89.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
88.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
87.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
87.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
87.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
87.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
87.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
87.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
87.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
86.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
86.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
86.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
86.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
85.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
85.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
84.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
84.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
83.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
83.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
83.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
83.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
82.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
82.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
82.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
81.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
81.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
81.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
80.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
80.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
80.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
80.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
80.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
80.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
80.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
79.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
79.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
78.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
78.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
78.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
78.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
77.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
77.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
76.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
76.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
76.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
76.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
75.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
75.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
74.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
74.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
73.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
73.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
73.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
72.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
71.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
71.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
70.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
70.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
70.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
70.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
70.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
69.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
68.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
68.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
67.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
67.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
67.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
66.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
66.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
65.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
65.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
65.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
64.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
64.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
63.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
63.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
63.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
63.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
60.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
59.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
58.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
56.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
44.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
PPP1CC 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
73.2
Number of samples
486
Samples
Sample
Description
TPM
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
139.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
136.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
133.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
129.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
122.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
121.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
121.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
121.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
118.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
117.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
117.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
115.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
114.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
113.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
112.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
111.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
111.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
109.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
108.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
108.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
105.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
104.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
104.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
103.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
101.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
101.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
101.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
100.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
100.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
99.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
99.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
99.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
98.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
97.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
96.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
96.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
95.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
95.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
94.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
93.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
93.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
93.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
92.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
91.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
91.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
91.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
91.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
91.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
90.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
90.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
90.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
90.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
90.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
89.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
88.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
88.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
88.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
88.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
87.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
87.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
87.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
86.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
86.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
86.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
86.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
85.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
85.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
85.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
85.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
85.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
84.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
84.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
83.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
83.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
83.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
83.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
83.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
83.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
83.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
83.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
82.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
82.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
82.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
81.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
81.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
81.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
81.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
81.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
80.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
80.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
80.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
79.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
79.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
79.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
78.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
78.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
78.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
78.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
78.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
78.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
77.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
77.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
77.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
77.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
77.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
76.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
76.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
76.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
76.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
75.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
75.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
75.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
75.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
74.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
74.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
74.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
73.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
73.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
73.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
72.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
71.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
71.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
71.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
71.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
71.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
70.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
70.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
68.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
68.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
68.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
68.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
67.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
67.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
67.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
67.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
67.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
66.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
65.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
64.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
64.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
63.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
63.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
63.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
62.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
62.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
59.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
59.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
57.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
56.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
9.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP1CC 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
85.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
151.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
143.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
142.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
128.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
120.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
117.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
115.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
114.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
112.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
112.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
109.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
109.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
106.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
106.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
105.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
104.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
103.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
102.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
102.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
102.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
102.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
101.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
99.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
97.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
97.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
96.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
95.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
94.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
93.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
93.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
87.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
87.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
85.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
85.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
85.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
84.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
83.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
83.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
82.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
79.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
78.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
78.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
78.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
78.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
77.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
75.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
74.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
74.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
73.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
73.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
72.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
69.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
69.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
68.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
67.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
67.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
66.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
65.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
62.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
60.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
51.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.5
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.
PPP1CC is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
68.9
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
108.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
108.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
102.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
101.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
99.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
98.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
98.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
94.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
93.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
93.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
93.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
92.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
91.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
91.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
89.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
88.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
88.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
88.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
88.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
84.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
82.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
82.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
82.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
82.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
81.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
81.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
81.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
79.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
78.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
78.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
78.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
78.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
78.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
77.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
76.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
76.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
75.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
75.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
75.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
74.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
74.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
73.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
73.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
72.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
72.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
71.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
71.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
71.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
71.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
70.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
68.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
68.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
67.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
67.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
65.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
64.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
63.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
62.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
62.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
59.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
59.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
56.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
45.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
31.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
