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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.
PSMD3 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
100.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1012.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
899.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
318.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
200.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
174.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
172.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
166.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
165.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
161.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
159.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
154.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
153.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
152.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
148.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
147.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
147.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
142.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
138.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
135.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
134.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
134.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
133.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
129.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
128.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
128.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
126.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
124.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
123.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
123.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
123.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
122.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
122.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
121.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
120.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
120.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
120.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
119.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
119.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
118.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
117.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
117.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
116.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
115.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
115.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
115.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
115.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
114.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
114.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
113.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
113.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
112.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
112.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
111.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
111.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
111.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
111.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
111.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
110.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
110.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
109.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
109.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
108.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
108.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
107.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
107.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
107.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
107.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
106.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
106.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
106.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
106.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
106.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
105.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
105.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
105.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
105.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
104.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
104.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
102.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
102.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
102.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
101.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
101.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
101.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
100.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
100.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
100.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
99.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
99.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
99.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
99.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
99.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
98.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
98.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
98.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
98.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
98.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
98.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
97.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
96.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
95.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
94.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
94.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
94.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
93.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
93.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
93.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
92.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
92.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
92.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
91.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
91.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
91.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
91.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
91.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
90.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
90.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
89.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
89.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
89.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
89.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
89.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
89.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
88.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
88.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
87.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
87.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
87.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
86.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
86.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
86.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
84.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
83.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
83.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
83.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
82.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
82.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
82.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
81.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
80.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
80.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
79.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
78.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
78.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
78.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
77.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
77.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
77.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
77.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
76.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
76.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
76.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
76.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
76.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
76.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
75.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
74.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
74.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
74.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
74.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
74.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
74.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
74.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
73.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
73.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
73.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
73.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
73.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
73.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
72.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
72.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
70.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
70.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
70.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
70.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
69.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
69.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
69.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
68.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
68.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
68.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
67.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
67.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
66.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
64.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
63.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
61.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
55.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
43.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
43.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD3 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
93.5
Number of samples
486
Samples
Sample
Description
TPM
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1238.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
326.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
226.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
200.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
188.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
183.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
173.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
169.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
163.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
163.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
158.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
156.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
156.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
150.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
148.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
147.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
146.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
144.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
144.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
143.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
141.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
141.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
141.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
140.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
140.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
139.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
139.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
138.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
137.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
137.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
136.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
136.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
135.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
131.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
130.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
129.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
127.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
127.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
127.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
127.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
126.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
126.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
126.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
125.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
125.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
125.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
125.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
124.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
123.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
123.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
122.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
121.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
121.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
119.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
118.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
118.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
118.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
117.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
117.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
117.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
117.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
117.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
116.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
116.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
115.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
115.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
115.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
115.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
115.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
115.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
114.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
114.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
114.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
114.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
114.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
113.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
113.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
112.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
112.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
112.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
112.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
111.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
111.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
111.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
111.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
111.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
110.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
110.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
109.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
109.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
109.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
108.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
108.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
108.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
108.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
108.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
107.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
107.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
107.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
106.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
106.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
105.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
105.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
105.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
105.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
105.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
104.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
104.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
104.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
104.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
103.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
103.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
103.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
102.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
102.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
102.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
102.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
102.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
102.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
101.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
101.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
101.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
100.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
100.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
100.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
100.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
99.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
99.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
99.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
99.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
99.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
98.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
98.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
98.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
98.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
98.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
98.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
98.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
97.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
97.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
97.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
97.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
97.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
97.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
96.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
96.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
96.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
96.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
96.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
95.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
95.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
95.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
95.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
94.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
94.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
94.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
94.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
94.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
94.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
93.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
93.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
93.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
93.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
93.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
93.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
92.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
92.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
91.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
91.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
91.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
91.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
91.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
91.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
91.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
91.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
90.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
90.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
90.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
90.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
90.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
90.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
89.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
89.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
89.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
89.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
89.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
89.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
89.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
88.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
88.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
88.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
88.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
88.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
88.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
88.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
88.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
87.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
87.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
87.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
87.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
87.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
87.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
87.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
86.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
86.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
86.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
86.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
86.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
86.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
86.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
86.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
86.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
86.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
85.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
85.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
85.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
85.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
84.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
84.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
83.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
83.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
83.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
83.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
82.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
82.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
82.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
82.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
81.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
81.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
81.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
81.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
81.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
80.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
80.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
80.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
80.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
80.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
79.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
79.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
79.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
79.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
79.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
79.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
78.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
78.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
77.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
77.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
77.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
77.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
76.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
76.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
75.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
75.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
75.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
73.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
73.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
72.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
72.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
70.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
70.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
70.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
70.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
69.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
69.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
69.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
69.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
68.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
65.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
64.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
64.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
64.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
64.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
62.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
61.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
61.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
59.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
58.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
58.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
53.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD3 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
85.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
197.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
159.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
153.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
126.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
126.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
124.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
122.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
122.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
122.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
120.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
120.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
115.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
113.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
108.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
101.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
100.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
99.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
97.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
96.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
96.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
95.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
95.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
92.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
90.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
90.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
89.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
88.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
88.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
88.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
87.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
87.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
87.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
87.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
86.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
86.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
85.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
82.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
81.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
80.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
80.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
79.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
78.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
77.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
77.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
77.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
76.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
75.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
75.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
74.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
74.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
71.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
71.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
70.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
65.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
63.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
60.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
58.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
52.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
46.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD3 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
108.8
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
3376.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1003.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
937.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
825.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
620.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
191.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
172.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
167.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
144.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
138.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
134.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
130.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
126.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
124.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
119.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
113.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
112.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
111.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
108.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
107.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
107.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
106.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
106.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
104.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
104.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
104.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
103.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
103.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
102.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
102.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
102.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
101.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
101.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
100.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
100.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
100.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
99.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
99.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
98.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
98.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
98.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
98.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
97.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
96.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
95.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
94.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
93.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
92.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
91.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
91.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
90.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
87.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
85.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
84.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
84.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
83.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
82.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
82.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
81.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
81.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
80.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
80.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
79.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
79.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
78.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
78.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
77.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
75.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
75.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
73.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
71.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
71.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
70.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
70.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
70.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
69.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
68.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
67.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
65.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
64.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
64.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
63.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
62.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
60.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
59.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
58.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
54.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
53.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
50.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
49.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
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Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
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
