We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PSMD2 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
80.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
168.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
156.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
146.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
145.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
127.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
127.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
127.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
123.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
123.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
123.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
122.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
121.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
120.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
117.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
117.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
116.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
115.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
115.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
115.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
114.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
114.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
114.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
112.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
112.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
112.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
112.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
111.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
111.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
110.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
109.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
108.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
107.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
105.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
105.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
104.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
103.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
103.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
103.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
102.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
102.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
101.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
101.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
101.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
100.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
100.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
99.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
99.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
99.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
98.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
98.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
97.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
97.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
97.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
97.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
96.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
95.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
95.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
95.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
94.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
94.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
94.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
94.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
94.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
94.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
94.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
92.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
91.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
91.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
91.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
91.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
91.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
91.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
91.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
90.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
89.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
89.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
88.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
86.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
86.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
86.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
86.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
86.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
85.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
84.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
84.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
83.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
82.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
82.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
82.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
81.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
81.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
81.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
81.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
81.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
80.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
80.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
79.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
79.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
78.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
77.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
77.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
77.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
76.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
76.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
76.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
76.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
75.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
74.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
73.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
72.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
72.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
72.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
72.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
71.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
71.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
71.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
70.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
70.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
70.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
70.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
70.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
69.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
68.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
68.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
67.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
66.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
66.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
65.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
64.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
64.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
64.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
62.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
61.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
61.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
61.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
61.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
60.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
60.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
59.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
58.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
58.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
57.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
56.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
56.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
55.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
52.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
51.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
51.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
50.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
50.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
50.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
50.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
48.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
46.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
45.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
PSMD2 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
67.3
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
161.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
145.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
133.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
130.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
126.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
126.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
125.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
121.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
116.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
114.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
112.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
110.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
108.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
107.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
105.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
105.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
105.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
104.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
101.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
101.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
98.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
97.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
96.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
95.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
95.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
94.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
94.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
93.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
92.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
92.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
91.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
90.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
90.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
90.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
90.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
90.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
90.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
89.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
88.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
88.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
87.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
87.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
86.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
86.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
86.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
86.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
86.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
86.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
86.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
86.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
85.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
84.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
84.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
84.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
84.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
83.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
83.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
83.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
82.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
82.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
81.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
81.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
81.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
81.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
81.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
80.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
79.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
79.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
79.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
78.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
78.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
77.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
77.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
77.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
75.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
75.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
74.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
74.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
74.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
73.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
73.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
73.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
73.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
72.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
72.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
72.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
72.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
71.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
71.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
71.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
71.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
71.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
70.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
70.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
70.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
69.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
69.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
69.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
69.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
69.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
69.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
68.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
68.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
68.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
67.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
66.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
66.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
66.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
66.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
65.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
64.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
63.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
61.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
61.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
61.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
61.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
60.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
60.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
59.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
59.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
58.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
58.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
57.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
56.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
56.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMD2 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
78.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
150.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
143.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
140.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
138.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
131.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
118.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
114.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
112.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
108.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
108.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
106.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
104.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
102.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
102.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
99.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
96.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
94.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
94.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
92.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
92.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
92.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
92.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
92.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
91.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
91.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
90.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
90.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
90.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
90.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
89.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
89.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
86.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
85.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
82.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
82.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
78.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
75.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
72.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
68.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
68.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
66.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
66.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
62.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
46.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
44.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PSMD2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
59.2
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
103.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
102.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
94.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
94.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
93.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
89.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
88.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
87.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
85.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
83.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
81.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
80.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
80.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
76.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
73.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
72.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
71.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
67.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
67.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
65.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
64.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
63.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
59.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
59.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
57.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
56.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
55.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
54.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
52.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
47.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
46.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
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
