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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMC5 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
103.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
254.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
202.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
201.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
195.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
178.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
173.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
172.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
166.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
165.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
160.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
158.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
155.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
154.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
153.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
153.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
151.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
149.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
146.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
143.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
142.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
142.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
140.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
140.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
140.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
139.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
137.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
136.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
136.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
135.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
135.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
135.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
135.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
132.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
132.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
132.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
132.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
131.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
130.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
130.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
129.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
129.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
129.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
129.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
128.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
128.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
128.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
127.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
125.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
124.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
123.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
123.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
122.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
122.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
121.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
120.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
119.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
119.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
119.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
118.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
117.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
117.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
117.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
116.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
116.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
116.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
115.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
115.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
114.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
114.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
114.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
114.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
113.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
113.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
113.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
112.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
112.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
112.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
111.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
111.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
111.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
111.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
111.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
111.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
111.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
110.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
110.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
108.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
108.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
108.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
108.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
108.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
107.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
107.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
107.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
106.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
106.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
106.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
106.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
106.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
105.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
105.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
105.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
105.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
105.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
105.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
104.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
104.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
103.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
103.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
103.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
103.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
103.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
102.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
102.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
101.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
101.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
101.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
101.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
101.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
101.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
100.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
100.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
100.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
100.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
100.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
99.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
99.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
99.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
98.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
97.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
97.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
97.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
97.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
97.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
97.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
97.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
96.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
96.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
96.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
95.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
95.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
95.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
95.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
95.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
94.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
94.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
94.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
94.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
93.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
93.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
92.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
92.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
92.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
92.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
91.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
91.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
90.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
90.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
90.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
90.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
90.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
90.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
89.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
89.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
89.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
88.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
88.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
88.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
88.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
88.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
87.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
87.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
87.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
87.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
86.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
86.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
86.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
86.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
86.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
84.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
84.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
84.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
83.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
83.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
79.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
79.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
78.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
78.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
78.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
78.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
77.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
77.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
76.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
76.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
74.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
72.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
72.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
71.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
69.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
68.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
66.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
66.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
62.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
59.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
59.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
54.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
PSMC5 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
49.5
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
123.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
118.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
101.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
96.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
87.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
80.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
77.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
72.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
68.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
63.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
63.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
63.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
61.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
58.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
58.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
55.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
53.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
51.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
51.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
46.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
41.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
40.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
32.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
31.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
26.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
PSMC5 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
97.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
197.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
171.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
167.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
159.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
154.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
149.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
141.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
133.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
129.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
127.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
124.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
124.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
123.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
123.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
122.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
121.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
120.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
118.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
117.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
115.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
115.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
114.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
111.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
109.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
109.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
109.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
107.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
105.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
104.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
104.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
102.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
102.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
101.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
101.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
101.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
101.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
99.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
98.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
97.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
96.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
93.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
91.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
91.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
89.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
89.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
88.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
87.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
86.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
83.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
83.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
80.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
79.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
78.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
78.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
77.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
76.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
74.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
72.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
71.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
69.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
68.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
68.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
65.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
64.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
35.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
34.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
PSMC5 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
44.0
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
88.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
83.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
78.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
57.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
54.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
29.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.9
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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
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_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
