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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AKAP1 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
77.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
171.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
162.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
151.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
145.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
144.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
143.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
143.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
136.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
132.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
131.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
128.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
128.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
128.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
127.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
125.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
124.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
121.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
119.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
119.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
119.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
118.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
117.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
117.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
114.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
113.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
112.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
111.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
111.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
109.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
109.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
108.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
107.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
107.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
105.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
105.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
105.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
105.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
104.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
103.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
102.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
102.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
101.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
101.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
100.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
100.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
100.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
99.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
98.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
98.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
96.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
96.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
95.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
95.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
94.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
94.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
94.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
94.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
93.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
93.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
93.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
93.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
93.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
92.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
92.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
92.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
91.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
90.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
90.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
89.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
89.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
89.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
87.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
87.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
86.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
86.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
86.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
86.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
85.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
84.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
84.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
84.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
83.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
83.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
82.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
82.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
82.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
81.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
81.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
81.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
81.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
79.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
79.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
78.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
78.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
77.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
77.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
75.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
74.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
74.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
74.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
74.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
74.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
74.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
73.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
73.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
73.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
72.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
72.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
72.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
71.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
71.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
71.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
71.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
71.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
71.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
71.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
70.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
69.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
68.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
67.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
67.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
67.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
67.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
66.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
65.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
65.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
65.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
63.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
62.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
61.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
61.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
61.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
61.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
60.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
59.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
59.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
57.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
56.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
56.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
55.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
54.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
53.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
53.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
52.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
51.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
51.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
51.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
AKAP1 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
92.6
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
266.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
217.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
198.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
180.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
174.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
172.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
171.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
170.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
168.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
162.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
162.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
161.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
157.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
155.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
155.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
155.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
153.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
153.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
150.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
149.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
149.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
148.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
148.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
147.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
147.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
147.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
147.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
146.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
144.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
141.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
141.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
140.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
140.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
139.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
138.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
138.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
137.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
136.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
135.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
135.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
134.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
134.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
133.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
132.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
132.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
131.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
131.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
131.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
131.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
131.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
130.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
130.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
129.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
129.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
128.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
127.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
127.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
127.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
126.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
126.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
125.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
124.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
124.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
123.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
123.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
123.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
123.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
123.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
123.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
123.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
122.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
122.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
121.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
121.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
121.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
120.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
120.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
119.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
119.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
119.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
119.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
118.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
118.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
118.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
118.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
117.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
117.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
117.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
116.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
116.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
116.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
116.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
115.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
115.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
115.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
114.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
114.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
113.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
113.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
113.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
112.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
111.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
110.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
110.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
109.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
109.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
109.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
109.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
109.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
109.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
109.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
108.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
108.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
108.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
107.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
106.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
106.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
106.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
106.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
106.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
106.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
106.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
106.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
105.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
105.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
105.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
105.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
105.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
105.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
105.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
105.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
105.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
104.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
104.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
104.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
104.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
104.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
104.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
104.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
103.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
103.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
103.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
103.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
103.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
103.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
103.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
102.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
102.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
102.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
101.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
101.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
101.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
101.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
101.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
100.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
99.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
99.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
99.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
98.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
98.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
98.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
98.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
98.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
98.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
98.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
98.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
97.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
97.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
97.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
96.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
96.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
96.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
96.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
95.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
95.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
95.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
95.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
95.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
94.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
94.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
94.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
94.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
94.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
93.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
93.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
93.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
93.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
92.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
92.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
92.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
92.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
92.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
91.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
91.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
91.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
90.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
90.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
90.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
90.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
90.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
90.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
89.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
89.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
89.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
89.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
89.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
89.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
88.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
88.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
88.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
88.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
88.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
88.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
88.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
87.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
87.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
87.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
87.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
86.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
85.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
85.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
85.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
85.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
85.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
84.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
83.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
83.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
83.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
83.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
82.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
82.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
82.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
81.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
81.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
81.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
81.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
81.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
81.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
80.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
80.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
80.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
79.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
79.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
79.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
79.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
78.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
78.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
78.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
77.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
76.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
76.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
75.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
75.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
75.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
75.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
75.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
74.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
72.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
71.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
71.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
70.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
70.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
69.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
68.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
68.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
68.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
68.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
67.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
66.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
62.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
62.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
60.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
58.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
58.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
53.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
50.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.4
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.
AKAP1 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
77.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
196.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
169.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
158.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
136.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
128.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
120.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
118.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
116.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
113.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
106.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
105.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
102.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
100.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
99.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
96.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
95.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
93.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
91.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
91.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
91.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
90.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
90.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
89.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
88.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
86.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
86.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
85.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
84.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
84.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
82.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
79.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
79.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
75.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
75.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
74.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
70.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
69.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
69.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
67.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
65.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
64.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
63.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
59.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
57.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
57.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
49.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
34.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.0
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.
AKAP1 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
90.0
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
226.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
193.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
161.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
161.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
151.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
144.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
141.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
140.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
140.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
138.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
138.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
137.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
135.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
134.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
132.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
130.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
127.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
127.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
126.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
126.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
126.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
126.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
125.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
123.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
123.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
120.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
119.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
118.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
116.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
115.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
114.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
114.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
114.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
114.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
113.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
113.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
111.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
111.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
111.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
111.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
110.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
110.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
108.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
108.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
108.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
107.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
106.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
106.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
106.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
106.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
105.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
105.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
104.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
104.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
104.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
103.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
103.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
103.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
103.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
102.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
102.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
101.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
101.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
101.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
101.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
99.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
99.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
98.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
98.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
98.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
97.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
97.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
95.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
95.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
95.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
94.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
94.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
94.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
94.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
93.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
93.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
93.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
93.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
93.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
92.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
91.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
91.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
91.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
91.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
91.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
90.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
89.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
89.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
89.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
88.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
88.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
87.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
85.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
85.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
85.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
84.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
84.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
83.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
83.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
82.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
82.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
81.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
81.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
80.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
79.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
79.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
79.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
78.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
76.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
76.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
75.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
74.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
74.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
71.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
71.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
70.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
69.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
68.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
49.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.