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.
NET1 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
76.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
159.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
147.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
147.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
142.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
139.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
139.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
130.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
129.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
129.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
124.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
122.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
119.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
117.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
116.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
115.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
114.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
113.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
112.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
111.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
110.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
110.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
109.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
108.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
108.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
108.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
107.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
106.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
105.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
104.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
104.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
104.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
103.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
102.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
101.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
101.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
101.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
101.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
101.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
101.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
99.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
98.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
97.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
97.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
96.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
96.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
95.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
94.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
94.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
94.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
94.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
94.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
93.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
92.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
92.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
91.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
91.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
91.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
91.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
90.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
89.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
89.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
89.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
88.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
88.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
88.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
87.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
87.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
87.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
87.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
86.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
86.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
86.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
86.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
85.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
85.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
84.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
84.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
84.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
84.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
84.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
83.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
83.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
82.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
81.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
81.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
80.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
80.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
80.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
80.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
79.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
79.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
79.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
79.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
78.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
78.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
77.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
76.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
76.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
75.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
75.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
75.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
74.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
74.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
74.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
73.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
73.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
72.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
72.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
71.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
71.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
71.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
71.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
70.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
70.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
69.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
68.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
68.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
67.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
67.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
66.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
66.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
65.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
64.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
64.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
64.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
63.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
63.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
62.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
61.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
60.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
60.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
59.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
58.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
58.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
57.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
56.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
52.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
50.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
42.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
39.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
NET1 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
88.0
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
309.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
207.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
183.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
181.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
168.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
165.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
164.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
160.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
159.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
154.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
153.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
152.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
149.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
148.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
146.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
144.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
144.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
143.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
141.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
140.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
140.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
140.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
139.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
139.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
139.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
139.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
138.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
138.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
136.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
135.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
135.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
134.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
133.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
133.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
133.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
132.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
131.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
131.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
130.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
130.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
130.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
129.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
129.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
129.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
128.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
128.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
127.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
127.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
126.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
125.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
125.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
125.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
125.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
125.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
124.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
123.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
123.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
123.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
123.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
123.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
123.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
122.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
122.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
121.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
120.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
119.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
119.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
118.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
118.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
118.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
117.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
117.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
117.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
116.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
116.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
116.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
115.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
114.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
114.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
113.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
113.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
113.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
113.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
112.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
112.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
111.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
111.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
111.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
111.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
110.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
110.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
110.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
110.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
110.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
110.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
110.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
109.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
109.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
109.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
109.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
109.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
109.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
108.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
108.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
107.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
107.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
106.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
106.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
106.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
105.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
105.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
105.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
104.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
104.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
104.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
104.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
102.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
101.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
101.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
101.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
101.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
100.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
100.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
100.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
100.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
100.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
100.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
100.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
99.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
99.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
99.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
99.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
99.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
99.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
98.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
98.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
98.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
98.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
98.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
97.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
97.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
97.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
96.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
96.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
96.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
96.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
96.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
96.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
96.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
96.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
96.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
95.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
95.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
95.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
95.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
94.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
94.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
93.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
93.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
93.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
93.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
93.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
93.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
93.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
92.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
92.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
92.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
91.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
90.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
90.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
90.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
89.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
89.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
89.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
89.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
89.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
89.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
88.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
88.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
88.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
88.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
88.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
88.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
88.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
87.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
87.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
87.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
87.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
85.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
85.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
85.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
84.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
84.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
84.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
83.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
83.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
83.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
83.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
83.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
82.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
82.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
82.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
81.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
80.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
80.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
80.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
79.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
79.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
79.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
79.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
78.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
78.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
78.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
77.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
77.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
77.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
77.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
77.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
76.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
76.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
76.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
75.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
75.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
75.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
74.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
74.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
74.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
73.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
73.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
73.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
73.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
72.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
72.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
69.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
69.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
68.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
68.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
68.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
68.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
67.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
67.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
65.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
63.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
63.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
61.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
60.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
58.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
58.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
57.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
56.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
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.
NET1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
77.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
174.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
160.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
157.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
142.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
130.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
118.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
117.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
106.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
103.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
103.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
101.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
100.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
99.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
98.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
95.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
92.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
92.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
91.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
90.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
89.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
88.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
82.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
82.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
82.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
81.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
80.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
80.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
80.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
79.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
79.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
79.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
78.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
78.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
77.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
74.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
74.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
72.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
71.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
68.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
68.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
65.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
63.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
60.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
60.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
58.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
54.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
45.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
44.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
34.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NET1 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
82.6
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
193.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
160.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
159.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
146.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
140.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
138.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
137.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
137.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
136.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
133.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
133.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
129.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
123.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
122.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
122.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
121.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
121.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
120.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
116.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
115.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
115.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
115.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
114.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
114.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
113.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
113.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
112.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
112.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
112.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
111.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
111.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
110.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
108.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
108.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
104.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
103.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
103.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
102.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
102.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
101.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
100.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
100.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
100.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
99.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
98.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
98.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
96.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
95.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
95.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
94.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
93.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
93.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
93.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
93.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
92.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
91.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
91.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
91.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
90.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
89.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
89.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
88.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
86.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
86.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
85.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
85.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
85.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
84.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
84.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
84.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
84.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
84.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
83.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
83.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
83.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
83.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
83.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
82.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
82.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
82.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
82.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
82.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
81.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
81.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
81.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
81.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
80.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
79.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
79.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
79.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
79.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
79.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
78.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
77.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
77.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
76.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
76.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
76.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
76.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
76.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
75.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
75.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
75.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
73.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
73.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
73.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
72.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
72.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
70.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
69.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
68.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
68.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
68.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
65.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
64.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
61.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
49.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
