We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APMAP 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
87.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
290.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
262.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
243.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
236.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
225.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
224.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
224.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
192.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
191.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
188.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
187.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
183.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
177.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
177.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
175.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
173.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
163.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
158.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
156.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
154.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
150.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
148.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
147.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
144.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
142.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
140.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
137.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
136.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
136.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
136.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
135.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
134.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
134.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
132.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
131.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
131.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
131.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
131.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
130.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
130.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
130.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
126.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
125.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
124.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
124.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
124.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
123.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
121.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
120.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
118.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
118.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
116.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
115.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
113.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
113.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
112.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
112.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
111.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
110.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
108.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
108.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
107.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
106.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
106.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
103.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
102.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
102.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
101.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
101.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
100.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
100.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
99.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
99.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
99.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
99.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
98.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
97.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
96.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
96.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
96.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
95.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
95.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
93.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
93.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
93.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
92.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
91.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
90.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
90.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
90.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
89.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
87.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
87.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
87.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
87.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
85.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
85.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
84.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
82.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
82.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
81.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
81.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
80.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
80.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
79.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
79.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
79.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
78.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
78.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
77.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
76.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
76.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
76.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
74.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
74.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
73.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
72.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
72.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
72.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
72.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
71.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
71.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
70.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
70.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
70.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
70.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
69.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
69.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
69.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
67.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
67.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
66.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
66.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
65.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
65.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
63.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
63.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
62.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
62.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
61.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
60.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
59.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
59.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
58.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
57.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
53.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
52.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
51.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
50.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
47.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
40.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
34.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
APMAP 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
56.2
Number of samples
486
Samples
Sample
Description
TPM
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
195.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
158.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
143.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
142.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
140.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
138.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
137.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
123.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
122.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
112.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
112.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
111.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
110.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
109.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
109.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
108.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
107.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
105.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
101.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
100.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
100.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
99.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
99.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
98.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
97.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
96.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
95.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
94.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
94.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
93.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
93.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
92.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
91.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
91.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
87.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
86.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
85.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
84.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
84.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
83.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
82.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
81.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
80.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
79.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
75.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
75.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
75.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
75.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
75.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
72.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
72.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
71.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
70.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
70.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
69.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
69.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
67.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
67.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
67.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
66.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
64.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
63.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
62.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
61.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
61.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
60.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
58.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
55.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
54.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
54.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
53.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
53.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
52.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
51.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
49.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
40.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
38.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
29.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
26.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
23.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
APMAP 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
92.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
230.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
226.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
224.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
216.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
196.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
189.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
174.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
162.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
160.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
160.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
147.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
144.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
139.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
138.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
130.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
127.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
124.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
121.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
119.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
118.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
116.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
114.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
114.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
114.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
112.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
105.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
104.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
103.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
103.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
102.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
97.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
96.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
95.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
94.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
94.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
93.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
92.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
92.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
89.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
89.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
88.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
88.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
87.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
82.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
81.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
79.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
77.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
77.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
75.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
75.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
75.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
69.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
66.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
63.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
61.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
61.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
60.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
47.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
36.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APMAP 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
51.8
Number of samples
207
Samples
Sample
Description
TPM
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
156.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
155.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
126.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
125.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
119.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
119.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
118.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
108.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
105.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
99.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
95.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
93.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
92.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
90.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
86.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
85.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
81.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
79.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
78.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
74.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
71.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
70.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
66.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
65.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
57.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
53.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
35.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
23.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
22.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
17.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
17.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
13.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
