We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOMM20 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
98.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
262.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
227.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
205.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
203.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
201.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
194.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
168.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
165.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
163.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
157.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
154.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
152.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
149.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
148.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
147.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
141.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
141.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
139.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
138.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
138.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
137.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
137.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
136.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
134.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
134.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
134.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
133.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
132.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
129.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
128.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
127.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
127.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
127.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
124.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
123.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
123.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
123.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
123.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
121.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
120.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
120.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
119.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
119.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
118.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
117.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
117.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
117.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
116.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
115.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
115.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
115.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
115.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
114.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
114.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
114.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
113.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
112.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
112.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
112.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
111.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
111.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
111.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
111.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
111.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
111.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
111.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
110.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
110.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
110.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
110.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
109.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
108.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
108.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
108.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
108.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
107.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
106.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
105.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
105.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
105.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
105.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
105.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
104.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
104.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
104.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
104.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
103.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
103.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
103.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
102.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
102.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
102.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
101.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
101.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
100.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
100.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
100.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
99.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
99.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
99.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
99.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
99.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
99.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
99.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
98.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
98.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
98.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
97.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
97.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
97.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
97.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
96.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
95.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
95.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
95.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
94.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
94.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
94.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
94.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
94.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
94.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
93.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
93.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
93.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
93.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
92.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
92.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
92.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
91.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
91.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
90.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
89.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
89.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
89.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
89.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
88.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
88.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
87.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
87.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
87.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
87.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
85.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
85.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
85.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
85.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
84.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
83.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
83.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
83.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
83.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
82.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
82.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
82.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
81.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
81.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
80.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
80.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
80.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
79.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
79.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
79.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
79.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
79.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
79.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
79.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
78.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
78.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
78.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
77.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
77.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
76.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
76.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
76.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
75.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
75.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
75.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
75.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
74.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
71.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
70.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
69.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
69.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
66.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
66.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
66.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
64.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
64.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
61.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
60.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
55.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOMM20 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
85.0
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
222.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
202.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
199.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
184.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
169.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
162.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
159.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
157.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
155.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
155.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
154.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
154.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
154.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
148.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
144.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
144.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
144.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
143.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
143.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
143.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
142.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
141.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
138.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
138.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
136.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
135.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
135.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
135.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
133.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
133.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
131.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
128.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
128.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
128.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
127.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
127.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
126.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
126.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
126.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
126.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
125.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
125.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
124.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
123.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
123.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
122.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
122.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
122.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
121.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
121.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
119.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
119.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
118.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
118.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
118.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
117.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
117.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
116.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
116.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
116.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
116.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
115.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
115.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
114.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
114.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
113.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
113.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
113.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
113.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
113.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
112.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
111.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
110.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
110.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
110.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
109.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
109.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
108.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
108.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
107.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
104.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
103.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
103.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
103.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
102.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
102.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
101.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
101.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
100.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
100.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
100.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
100.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
100.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
99.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
99.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
98.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
98.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
98.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
98.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
97.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
97.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
97.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
97.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
96.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
96.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
96.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
96.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
96.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
96.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
95.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
95.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
95.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
95.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
94.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
94.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
94.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
93.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
93.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
93.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
93.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
93.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
93.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
93.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
92.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
92.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
92.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
92.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
91.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
91.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
90.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
90.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
90.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
89.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
88.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
88.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
88.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
88.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
88.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
88.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
88.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
88.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
88.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
87.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
87.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
87.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
87.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
86.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
86.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
86.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
86.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
85.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
85.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
85.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
84.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
84.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
84.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
84.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
84.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
84.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
84.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
83.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
82.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
82.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
82.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
82.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
82.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
82.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
82.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
82.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
81.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
80.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
80.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
80.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
80.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
79.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
79.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
79.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
79.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
79.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
78.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
78.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
78.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
78.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
77.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
77.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
77.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
77.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
76.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
76.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
76.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
76.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
75.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
75.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
74.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
74.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
74.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
74.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
73.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
73.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
73.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
73.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
72.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
72.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
72.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
71.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
71.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
71.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
70.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
70.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
68.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
67.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
67.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
64.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
63.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
62.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
60.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
58.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
58.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
57.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
50.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
TOMM20 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
104.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
197.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
197.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
194.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
187.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
170.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
155.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
151.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
149.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
147.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
145.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
141.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
137.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
136.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
131.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
131.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
130.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
129.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
127.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
126.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
126.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
125.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
123.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
123.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
122.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
122.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
121.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
120.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
120.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
119.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
116.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
112.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
111.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
111.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
110.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
110.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
108.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
107.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
103.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
103.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
102.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
101.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
100.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
100.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
99.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
98.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
97.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
96.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
94.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
93.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
92.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
91.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
91.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
89.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
82.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
80.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
80.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
80.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
79.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
78.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
77.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
77.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
75.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
75.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
75.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
73.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
68.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
67.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
TOMM20 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
78.1
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
201.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
166.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
164.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
155.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
146.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
145.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
138.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
134.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
133.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
131.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
131.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
125.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
123.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
123.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
120.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
114.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
114.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
114.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
112.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
110.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
109.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
107.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
106.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
106.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
105.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
105.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
102.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
101.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
101.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
101.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
101.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
100.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
100.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
99.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
98.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
97.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
97.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
97.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
96.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
95.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
93.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
93.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
90.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
90.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
89.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
88.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
88.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
87.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
87.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
87.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
87.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
87.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
86.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
86.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
85.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
85.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
84.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
83.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
83.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
82.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
82.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
82.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
82.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
82.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
81.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
81.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
79.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
79.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
78.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
76.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
75.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
74.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
74.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
73.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
72.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
72.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
71.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
71.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
69.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
69.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
69.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
68.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
68.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
67.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
67.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
67.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
61.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
55.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
52.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.3
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
