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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.
PPM1G 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
101.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
180.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
180.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
173.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
172.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
171.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
164.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
160.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
155.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
154.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
154.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
154.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
154.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
153.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
153.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
151.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
150.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
150.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
147.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
145.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
144.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
142.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
142.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
140.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
138.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
138.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
137.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
137.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
136.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
135.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
135.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
134.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
134.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
133.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
133.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
131.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
131.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
131.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
131.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
130.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
129.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
128.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
127.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
125.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
125.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
125.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
123.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
123.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
122.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
120.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
120.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
120.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
119.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
119.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
117.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
116.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
115.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
115.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
115.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
114.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
114.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
114.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
114.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
114.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
113.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
113.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
112.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
111.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
111.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
111.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
111.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
110.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
110.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
109.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
109.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
109.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
109.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
109.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
109.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
108.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
108.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
108.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
107.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
107.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
106.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
106.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
106.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
105.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
105.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
104.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
104.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
104.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
104.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
104.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
104.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
103.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
103.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
102.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
102.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
102.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
101.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
101.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
101.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
101.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
101.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
101.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
101.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
100.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
100.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
99.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
99.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
99.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
99.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
99.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
99.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
98.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
98.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
97.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
97.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
96.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
96.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
96.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
95.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
95.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
95.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
94.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
94.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
94.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
93.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
93.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
92.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
92.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
92.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
92.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
91.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
91.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
91.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
91.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
91.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
90.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
89.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
89.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
89.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
89.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
89.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
89.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
89.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
87.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
87.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
87.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
86.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
86.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
85.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
85.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
85.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
84.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
84.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
84.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
84.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
83.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
83.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
83.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
83.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
83.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
83.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
82.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
82.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
82.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
82.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
82.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
82.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
81.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
81.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
81.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
80.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
79.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
78.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
78.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
78.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
77.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
76.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
76.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
75.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
75.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
75.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
75.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
75.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
74.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
74.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
74.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
74.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
73.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
72.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
71.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
71.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
71.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
70.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
68.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
66.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
65.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
PPM1G 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
79.8
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
179.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
171.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
155.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
153.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
149.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
148.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
148.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
143.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
142.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
141.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
137.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
135.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
131.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
131.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
131.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
129.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
128.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
127.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
127.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
125.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
124.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
124.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
123.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
123.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
122.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
118.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
117.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
117.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
117.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
117.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
116.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
116.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
116.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
115.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
114.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
114.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
114.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
113.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
113.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
112.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
112.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
110.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
110.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
109.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
109.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
109.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
108.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
108.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
108.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
108.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
107.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
107.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
106.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
106.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
106.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
105.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
105.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
104.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
104.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
104.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
103.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
102.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
102.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
101.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
101.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
101.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
99.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
99.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
99.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
99.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
98.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
97.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
97.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
97.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
96.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
96.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
96.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
95.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
95.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
95.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
95.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
95.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
95.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
95.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
94.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
94.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
94.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
94.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
94.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
92.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
92.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
92.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
92.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
92.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
91.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
91.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
91.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
91.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
91.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
91.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
90.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
90.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
90.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
90.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
90.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
90.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
90.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
89.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
89.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
88.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
88.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
88.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
87.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
87.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
87.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
87.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
86.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
86.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
86.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
86.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
86.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
86.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
86.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
86.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
85.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
85.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
85.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
85.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
84.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
84.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
84.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
84.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
84.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
83.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
83.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
83.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
82.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
82.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
82.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
82.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
81.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
81.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
81.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
80.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
80.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
80.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
80.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
79.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
79.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
79.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
79.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
79.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
79.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
79.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
78.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
78.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
78.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
78.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
78.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
77.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
77.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
77.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
77.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
76.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
76.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
76.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
76.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
75.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
75.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
75.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
74.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
74.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
74.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
74.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
73.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
73.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
73.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
73.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
72.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
72.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
72.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
71.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
71.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
71.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
71.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
70.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
70.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
69.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
69.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
68.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
68.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
67.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
67.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
66.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
66.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
64.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
64.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
64.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
63.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
63.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
63.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
62.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
62.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
61.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
60.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
60.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
59.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
58.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
57.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
55.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
55.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
49.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.0
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.
PPM1G 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
100.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
212.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
189.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
169.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
159.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
150.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
145.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
142.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
136.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
135.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
132.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
127.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
127.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
124.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
121.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
121.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
119.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
118.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
118.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
118.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
116.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
116.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
116.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
115.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
114.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
113.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
112.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
112.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
111.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
111.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
110.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
110.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
109.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
107.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
107.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
105.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
104.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
104.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
104.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
103.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
100.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
99.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
99.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
97.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
97.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
96.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
96.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
95.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
92.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
92.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
91.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
90.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
90.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
90.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
87.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
87.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
83.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
81.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
80.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
77.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
74.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
73.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
58.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
54.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
34.3
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.
PPM1G 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
70.2
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
147.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
139.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
122.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
120.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
117.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
112.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
111.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
110.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
107.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
106.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
104.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
101.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
100.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
97.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
96.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
96.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
95.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
94.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
94.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
94.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
93.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
93.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
91.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
91.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
91.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
91.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
90.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
88.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
88.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
85.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
83.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
81.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
80.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
79.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
79.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
79.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
78.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
76.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
76.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
76.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
74.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
73.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
72.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
72.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
72.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
71.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
71.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
70.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
70.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
70.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
69.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
69.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
68.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
68.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
67.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
66.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
64.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
63.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
63.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
62.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
59.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
51.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
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Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
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Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
