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.
ASPH 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
94.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
396.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
330.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
323.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
292.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
281.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
270.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
254.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
250.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
223.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
217.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
216.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
215.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
206.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
203.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
192.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
190.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
189.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
189.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
187.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
187.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
185.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
185.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
184.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
182.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
180.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
178.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
177.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
175.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
175.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
175.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
171.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
158.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
154.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
154.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
154.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
148.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
148.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
147.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
147.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
140.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
139.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
136.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
135.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
135.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
134.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
132.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
130.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
128.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
127.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
127.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
126.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
125.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
124.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
122.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
121.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
121.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
120.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
120.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
120.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
119.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
118.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
116.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
115.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
114.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
109.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
107.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
107.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
107.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
104.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
104.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
103.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
102.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
102.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
102.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
101.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
101.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
101.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
99.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
99.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
98.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
98.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
96.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
95.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
95.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
95.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
94.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
94.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
94.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
93.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
91.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
90.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
90.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
90.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
89.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
88.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
87.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
87.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
86.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
86.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
86.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
86.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
85.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
85.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
84.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
84.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
83.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
83.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
82.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
82.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
81.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
80.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
79.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
78.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
78.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
78.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
78.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
78.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
77.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
76.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
74.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
74.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
73.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
73.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
73.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
72.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
72.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
72.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
71.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
69.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
69.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
69.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
68.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
68.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
68.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
67.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
67.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
67.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
65.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
65.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
64.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
63.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
62.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
61.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
60.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
60.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
58.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
57.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
57.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
57.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
57.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
54.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
53.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
53.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
51.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
49.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
43.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 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.
ASPH 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
151.5
Number of samples
486
Samples
Sample
Description
TPM
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1431.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
853.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
626.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
529.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
467.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
455.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
433.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
423.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
411.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
405.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
398.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
391.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
389.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
387.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
384.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
381.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
374.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
353.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
345.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
342.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
329.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
328.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
313.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
297.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
293.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
292.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
291.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
288.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
285.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
284.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
280.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
279.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
278.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
277.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
277.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
276.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
269.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
266.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
263.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
263.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
263.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
262.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
262.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
261.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
260.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
259.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
257.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
257.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
253.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
251.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
248.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
248.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
247.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
246.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
245.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
243.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
239.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
239.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
239.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
239.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
234.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
229.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
226.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
226.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
225.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
225.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
224.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
223.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
223.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
223.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
222.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
221.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
220.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
219.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
218.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
217.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
216.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
215.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
215.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
210.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
210.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
209.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
208.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
207.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
207.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
207.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
205.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
201.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
197.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
196.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
195.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
193.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
192.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
192.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
192.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
191.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
186.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
185.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
185.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
184.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
183.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
182.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
181.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
181.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
180.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
180.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
179.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
178.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
178.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
178.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
178.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
178.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
176.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
176.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
175.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
174.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
173.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
173.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
172.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
172.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
172.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
171.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
170.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
169.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
168.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
168.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
167.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
167.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
165.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
165.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
164.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
164.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
164.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
164.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
163.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
163.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
162.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
162.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
162.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
160.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
160.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
160.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
160.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
159.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
157.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
157.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
157.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
157.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
156.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
155.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
155.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
155.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
155.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
154.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
154.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
154.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
154.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
153.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
152.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
152.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
151.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
151.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
151.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
151.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
151.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
150.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
150.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
150.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
148.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
148.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
147.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
146.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
146.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
146.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
146.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
146.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
146.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
145.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
145.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
144.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
144.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
144.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
143.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
143.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
142.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
142.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
142.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
141.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
141.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
139.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
139.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
138.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
138.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
137.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
136.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
136.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
136.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
135.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
135.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
135.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
134.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
134.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
134.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
133.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
133.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
133.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
132.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
132.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
132.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
132.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
132.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
131.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
131.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
131.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
130.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
130.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
130.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
130.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
130.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
130.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
130.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
129.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
129.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
129.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
129.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
129.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
129.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
128.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
128.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
128.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
128.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
128.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
127.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
127.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
127.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
126.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
126.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
126.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
126.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
126.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
126.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
126.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
125.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
125.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
125.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
124.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
124.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
124.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
124.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
123.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
123.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
122.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
122.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
122.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
122.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
121.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
121.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
120.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
120.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
120.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
119.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
119.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
119.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
119.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
119.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
118.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
118.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
117.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
117.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
116.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
116.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
116.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
116.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
115.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
115.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
115.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
115.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
114.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
114.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
114.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
114.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
113.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
113.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
113.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
113.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
113.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
113.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
113.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
113.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
113.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
112.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
111.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
110.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
109.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
109.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
108.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
108.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
108.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
108.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
108.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
108.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
107.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
107.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
107.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
107.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
107.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
107.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
106.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
106.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
106.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
106.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
106.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
106.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
105.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
105.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
105.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
105.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
105.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
105.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
104.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
104.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
104.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
104.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
104.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
103.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
103.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
103.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
103.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
103.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
103.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
102.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
102.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
102.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
102.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
102.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
102.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
102.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
101.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
100.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
100.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
100.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
100.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
100.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
100.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
100.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
99.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
99.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
99.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
99.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
99.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
98.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
98.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
98.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
98.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
97.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
97.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
97.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
97.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
96.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
96.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
96.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
96.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
95.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
95.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
95.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
95.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
93.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
93.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
93.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
91.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
91.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
91.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
90.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
90.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
89.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
89.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
89.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
89.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
89.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
88.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
88.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
88.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
87.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
87.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
86.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
85.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
85.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
85.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
84.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
84.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
84.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
82.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
82.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
82.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
81.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
81.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
80.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
80.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
79.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
79.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
78.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
78.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
78.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
77.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
77.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
77.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
76.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
75.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
75.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
74.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
72.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
72.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
67.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
67.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
62.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
13.1
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.
ASPH is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
78.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
273.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
235.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
187.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
179.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
131.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
128.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
126.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
123.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
118.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
111.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
110.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
107.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
104.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
98.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
96.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
96.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
92.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
92.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
92.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
90.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
88.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
85.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
82.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
82.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
79.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
79.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
79.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
77.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
76.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
76.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
75.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
74.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
73.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
72.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
72.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
70.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
66.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
64.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
64.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
58.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
57.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
54.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
45.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
20.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.0
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.
ASPH 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
117.4
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
469.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
434.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
330.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
297.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
264.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
251.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
235.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
225.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
224.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
201.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
201.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
195.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
192.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
191.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
191.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
189.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
188.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
185.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
183.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
183.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
181.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
176.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
176.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
175.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
175.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
173.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
168.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
168.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
165.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
163.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
160.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
158.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
156.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
153.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
149.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
142.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
142.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
141.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
139.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
137.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
137.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
135.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
134.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
132.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
131.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
131.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
129.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
128.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
126.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
125.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
124.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
123.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
123.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
122.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
121.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
120.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
120.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
120.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
119.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
119.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
119.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
118.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
118.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
118.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
118.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
117.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
117.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
117.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
116.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
116.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
116.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
116.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
115.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
115.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
114.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
114.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
114.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
114.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
113.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
113.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
113.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
112.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
112.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
111.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
111.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
111.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
111.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
110.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
109.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
108.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
107.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
107.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
107.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
107.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
106.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
106.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
105.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
105.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
105.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
105.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
103.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
103.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
102.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
101.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
101.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
100.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
100.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
100.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
99.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
98.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
98.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
98.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
97.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
97.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
97.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
97.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
96.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
96.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
96.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
95.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
95.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
95.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
95.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
95.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
94.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
94.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
94.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
93.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
93.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
93.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
92.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
92.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
91.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
91.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
91.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
90.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
90.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
90.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
89.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
88.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
87.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
87.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
86.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
85.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
85.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
85.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
84.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
84.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
84.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
84.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
83.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
82.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
82.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
82.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
82.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
81.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
81.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
81.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
79.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
78.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
78.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
76.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
74.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
72.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
72.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
72.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
72.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
70.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
70.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
69.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
64.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
61.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
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
